目录

AlphaVPS 洛杉矶 AMD 7700X 测评

套餐

2G-Ryzen
2x AMD Ryzen vCPU
2GB DDR4 Memory
30GB NVMe
2TB on 1Gbit/s
1x IPv4 and /64 IPv6

€5.99/m

测评

Yabs

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Basic System Information:
---------------------------------
Uptime     : 0 days, 0 hours, 3 minutes
Processor  : AMD Ryzen 7 7700X 8-Core Processor
CPU cores  : 2 @ 4491.540 MHz
AES-NI     : ✔ Enabled
VM-x/AMD-V : ✔ Enabled
RAM        : 1.9 GiB
Swap       : 1024.0 MiB
Disk       : 28.4 GiB
Distro     : Ubuntu 20.04.6 LTS
Kernel     : 5.4.0-147-generic
VM Type    : KVM
Net Online : IPv4 & IPv6

IPv6 Network Information:
---------------------------------
ISP        : WebNX, Inc.
ASN        : AS18450 WebNX, Inc.
Host       : WebNX, Inc.
Location   : Cheyenne, Wyoming (WY)
Country    : United States

fio Disk Speed Tests (Mixed R/W 50/50):
---------------------------------
Block Size | 4k            (IOPS) | 64k           (IOPS)
  ------ | --- ---- | ---- ----
Read       | 873.75 MB/s (218.4k) | 1.09 GB/s    (17.0k)
Write      | 876.06 MB/s (219.0k) | 1.09 GB/s    (17.1k)
Total      | 1.74 GB/s   (437.4k) | 2.19 GB/s    (34.2k)
           |                      |
Block Size | 512k          (IOPS) | 1m            (IOPS)
  ------ | --- ---- | ---- ----
Read       | 3.79 GB/s     (7.4k) | 4.84 GB/s     (4.7k)
Write      | 3.99 GB/s     (7.7k) | 5.16 GB/s     (5.0k)
Total      | 7.78 GB/s    (15.1k) | 10.01 GB/s    (9.7k)

iperf3 Network Speed Tests (IPv4):
---------------------------------
Provider        | Location (Link)           | Send Speed      | Recv Speed      | Ping
----- | ----- | ---- | ---- | ----
Clouvider       | London, UK (10G)          | 637 Mbits/sec   | 852 Mbits/sec   | 127 ms
Scaleway        | Paris, FR (10G)           | 687 Mbits/sec   | 855 Mbits/sec   | 141 ms
NovoServe       | North Holland, NL (40G)   | 635 Mbits/sec   | 677 Mbits/sec   | 179 ms
Uztelecom       | Tashkent, UZ (10G)        | 628 Mbits/sec   | 691 Mbits/sec   | 242 ms
Clouvider       | NYC, NY, US (10G)         | 875 Mbits/sec   | 467 Mbits/sec   | 74.1 ms
Clouvider       | Dallas, TX, US (10G)      | 926 Mbits/sec   | 932 Mbits/sec   | 40.4 ms
Clouvider       | Los Angeles, CA, US (10G) | 941 Mbits/sec   | 941 Mbits/sec   | 21.9 ms

iperf3 Network Speed Tests (IPv6):
---------------------------------
Provider        | Location (Link)           | Send Speed      | Recv Speed      | Ping
----- | ----- | ---- | ---- | ----
Clouvider       | London, UK (10G)          | 628 Mbits/sec   | 44.2 Mbits/sec  | 127 ms
Scaleway        | Paris, FR (10G)           | 697 Mbits/sec   | 652 Mbits/sec   | 138 ms
NovoServe       | North Holland, NL (40G)   | 620 Mbits/sec   | busy            | 179 ms
Uztelecom       | Tashkent, UZ (10G)        | 550 Mbits/sec   | 517 Mbits/sec   | 242 ms
Clouvider       | NYC, NY, US (10G)         | 808 Mbits/sec   | 690 Mbits/sec   | 72.5 ms
Clouvider       | Dallas, TX, US (10G)      | 905 Mbits/sec   | 912 Mbits/sec   | 40.3 ms
Clouvider       | Los Angeles, CA, US (10G) | 911 Mbits/sec   | 921 Mbits/sec   | 21.9 ms

Bench

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-------------------- A Bench.sh Script By Teddysun -------------------
 Version            : v2022-06-01
 Usage              : wget -qO- bench.sh | bash
----------------------------------------------------------------------
 CPU Model          : AMD Ryzen 7 7700X 8-Core Processor
 CPU Cores          : 2 @ 4491.540 MHz
 CPU Cache          : 512 KB
 AES-NI             : Enabled
 VM-x/AMD-V         : Enabled
 Total Disk         : 28.5 GB (4.1 GB Used)
 Total Mem          : 1.9 GB (134.7 MB Used)
 Total Swap         : 1024.0 MB (5.2 MB Used)
 System uptime      : 0 days, 0 hour 46 min
 Load average       : 0.12, 0.74, 0.93
 OS                 : Ubuntu 20.04.6 LTS
 Arch               : x86_64 (64 Bit)
 Kernel             : 5.4.0-147-generic
 TCP CC             : bbr
 Virtualization     : KVM
 Organization       : AS18450 WebNX, Inc.
 Location           : Los Angeles / US
 Region             : California
----------------------------------------------------------------------
 I/O Speed(1st run) : 3.1 GB/s
 I/O Speed(2nd run) : 3.1 GB/s
 I/O Speed(3rd run) : 3.1 GB/s
 I/O Speed(average) : 3174.4 MB/s
----------------------------------------------------------------------
 Node Name        Upload Speed      Download Speed      Latency
 Speedtest.net    858.14 Mbps       931.92 Mbps         40.99 ms
 Los Angeles, US  916.78 Mbps       929.13 Mbps         16.70 ms
 Dallas, US       892.39 Mbps       930.09 Mbps         37.19 ms
 Montreal, CA     768.86 Mbps       935.20 Mbps         68.06 ms
 Paris, FR        493.41 Mbps       932.15 Mbps         160.63 ms
 Amsterdam, NL    601.68 Mbps       950.40 Mbps         141.50 ms
 Shanghai, CN     258.37 Mbps       899.73 Mbps         283.84 ms
 Nanjing, CN      523.82 Mbps       943.74 Mbps         158.09 ms
 Guangzhou, CN    3.95 Mbps         703.90 Mbps         172.48 ms
 Hongkong, CN     4.96 Mbps         3.93 Mbps           150.86 ms
 Singapore, SG    488.17 Mbps       881.54 Mbps         161.51 ms
 Tokyo, JP        710.17 Mbps       887.66 Mbps         121.40 ms
----------------------------------------------------------------------

PerformanceTest

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AMD Ryzen 7 7700X 8-Core Processor (x86_64)
2 cores @ 4491 MHz  |  1.9 GiB RAM
Number of Processes: 2  |  Test Iterations: 3  |  Test Duration: Very Long
--------------------------------------------------------------------------
CPU Mark:                          7913
  Integer Math                     17654 Million Operations/s
  Floating Point Math              16482 Million Operations/s
  Prime Numbers                    64.1 Million Primes/s
  Sorting                          10062 Thousand Strings/s
  Encryption                       3819 MB/s
  Compression                      75776 KB/s
  CPU Single Threaded              4238 Million Operations/s
  Physics                          1028 Frames/s
  Extended Instructions (SSE)      7004 Million Matrices/s

Memory Mark:                       1916
  Database Operations              2774 Thousand Operations/s
  Memory Read Cached               41333 MB/s
  Memory Read Uncached             38881 MB/s
  Memory Write                     22108 MB/s
  Available RAM                    1510 Megabytes
  Memory Latency                   59 Nanoseconds
  Memory Threaded                  46088 MB/s

UnixBench

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2 CPUs in system; running 1 parallel copy of tests

Dhrystone 2 using register variables       82250362.3 lps   (10.0 s, 10 samples)
Double-Precision Whetstone                    13671.1 MWIPS (10.0 s, 10 samples)
Execl Throughput                              11121.8 lps   (30.0 s, 4 samples)
File Copy 1024 bufsize 2000 maxblocks       2642904.5 KBps  (30.0 s, 4 samples)
File Copy 256 bufsize 500 maxblocks          704646.0 KBps  (30.0 s, 4 samples)
File Copy 4096 bufsize 8000 maxblocks       8256639.9 KBps  (30.0 s, 4 samples)
Pipe Throughput                             4228287.5 lps   (10.0 s, 10 samples)
Pipe-based Context Switching                 183162.8 lps   (10.0 s, 10 samples)
Process Creation                              35756.5 lps   (30.0 s, 4 samples)
Shell Scripts (1 concurrent)                  30712.4 lpm   (60.0 s, 4 samples)
Shell Scripts (8 concurrent)                   5431.8 lpm   (60.0 s, 4 samples)
System Call Overhead                        5519520.3 lps   (10.0 s, 10 samples)

System Benchmarks Index Values               BASELINE       RESULT    INDEX
Dhrystone 2 using register variables         116700.0   82250362.3   7048.0
Double-Precision Whetstone                       55.0      13671.1   2485.7
Execl Throughput                                 43.0      11121.8   2586.5
File Copy 1024 bufsize 2000 maxblocks          3960.0    2642904.5   6674.0
File Copy 256 bufsize 500 maxblocks            1655.0     704646.0   4257.7
File Copy 4096 bufsize 8000 maxblocks          5800.0    8256639.9  14235.6
Pipe Throughput                               12440.0    4228287.5   3398.9
Pipe-based Context Switching                   4000.0     183162.8    457.9
Process Creation                                126.0      35756.5   2837.8
Shell Scripts (1 concurrent)                     42.4      30712.4   7243.5
Shell Scripts (8 concurrent)                      6.0       5431.8   9052.9
System Call Overhead                          15000.0    5519520.3   3679.7
                                                                   ========
System Benchmarks Index Score                                        4051.0

------------------------------------------------------------------------
2 CPUs in system; running 2 parallel copies of tests

Dhrystone 2 using register variables      160306340.0 lps   (10.0 s, 10 samples)
Double-Precision Whetstone                    27300.4 MWIPS (10.0 s, 10 samples)
Execl Throughput                              20533.8 lps   (29.9 s, 4 samples)
File Copy 1024 bufsize 2000 maxblocks       4787169.2 KBps  (30.0 s, 4 samples)
File Copy 256 bufsize 500 maxblocks         1279569.5 KBps  (30.0 s, 4 samples)
File Copy 4096 bufsize 8000 maxblocks      11688626.5 KBps  (30.0 s, 4 samples)
Pipe Throughput                             8434503.3 lps   (10.0 s, 10 samples)
Pipe-based Context Switching                 910565.9 lps   (10.0 s, 10 samples)
Process Creation                              61375.2 lps   (30.0 s, 4 samples)
Shell Scripts (1 concurrent)                  41571.0 lpm   (60.0 s, 4 samples)
Shell Scripts (8 concurrent)                   5929.4 lpm   (60.0 s, 4 samples)
System Call Overhead                       11243558.2 lps   (10.0 s, 10 samples)

System Benchmarks Index Values               BASELINE       RESULT    INDEX
Dhrystone 2 using register variables         116700.0  160306340.0  13736.6
Double-Precision Whetstone                       55.0      27300.4   4963.7
Execl Throughput                                 43.0      20533.8   4775.3
File Copy 1024 bufsize 2000 maxblocks          3960.0    4787169.2  12088.8
File Copy 256 bufsize 500 maxblocks            1655.0    1279569.5   7731.5
File Copy 4096 bufsize 8000 maxblocks          5800.0   11688626.5  20152.8
Pipe Throughput                               12440.0    8434503.3   6780.1
Pipe-based Context Switching                   4000.0     910565.9   2276.4
Process Creation                                126.0      61375.2   4871.0
Shell Scripts (1 concurrent)                     42.4      41571.0   9804.5
Shell Scripts (8 concurrent)                      6.0       5929.4   9882.4
System Call Overhead                          15000.0   11243558.2   7495.7
                                                                   ========
System Benchmarks Index Score                                        7534.8

Geekbench 6

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VXZeq70xJ7KuURQAABBBBAAAEEEAiLwG+/7ZGh1otbyZV0KtmGjZrKunXrwnrJDz+cId269xBdeDyp6aWBg2Tw4KEhqcvUlsOHj1gvjrWxFnVfYSrCcQQQQAABFwGmunLBIQsBBFK+gE5vVadufU9zseoieTfdVF3y5c0n+fLltRe21h/FdaG9LVu3eapDRW+99RZ57dWXg14IcNfu3VLXmmtXR5IklAoUKCClSpW05rQtIkWKFJHsMTGyZ89e2blrl+yy/nQ9kz/++COhaqzpqTpLi0ebJ1jOqYCOpqlXr2GC63no9Fo3WIsQVq5USXLnziUx2WPk0O+HRO93167dVgBii2gnzEsaO2aUVKtW1UtRxzIakGhnjdDRBe4TSlmyZJE777xDdDi6Llqu645ouw8ePChLli6VtWsT7sDpvY8bN0auuzay5uFN6N7JRwABBJJTgKmuklObayGAwKUqoN+DdVHs1asTXu8wFFNd6ctGjZs0t/ooCX/PL1nySrmxenX7O3fuPLnlcmsa4UOHD9vfu5cuWSbr1q/39NjaWWt+PNHucU9lnQpNnjxVXn7lVaesWMe0X6ALll9xRQnJncvq31h9sRPWGofaV9i6bZt8//2CBPtIWqGeN+vjGYleH5CprmI9DnYQQOASFCDwcQk+dG4ZAQQuCOgbP9988+2FAw5blStXks5PdpKKFSs45F44tGLFShk0eIh4Wfy6b9/eUrfOIxdO9rilw77bPPZ4gm/9FCxYUDq0b2cvVK5z2pqSvkX05pvj7Hl03d580h/mP539sWi9iUleO06NGjW05t19zP5Sb6pf7/2bb7+TkSNHy86dO03F7OO6mPxHM6aLLjAfTBo3bryMGj3G9VTtyPTs+YzcW7Om6ILlprTN6tQMG/6KLF68xFTEPp4jRw757NNZkilTJtdyZCKAAAKXqgCBj0v1yXPfCCCQnAJvjX/b/r7t5ZpJDXxo/+Pxx9vL8hXuIxp0UeynuzwlGvhwSxo80b7CF1/OcStmL8j+3rSp9gtirgUdMn/4YbE9Xa32c0wpffr00uOZ7lZfrIb9UpSp3F9//SXz5n8vL1lTcGkAyC3dc8/dMmzoYLci8fKe7d033rFwH/C9XBf3OrrW5eBBL0nNmjXiZrGPAAIIhE2AwEfYaKkYAQQiXeDTTz+TPn2fd22mvqEzdMhg1x+2AyvQtTHef/8Dew5ZXcPBlGKyZZPZs2dJtmxZTUUcj8+22tw3gTY/9dST0rRJ40T96K+jKrp16yGbNpnnkH344drS7/nEfXn+ZPan8txz/RzvRQ9qwOC5vn3k/vvvM5aJm6HGH388S14aONh1jt5gR6lop6PWfQ/I6dPmably5sxhLzZYrlzZuM1z3Nc2v/DiQLvdjgX+O9i2bRsrYPWEWxHyEEAAgUtWgMDHJfvouXEEEEgmAR0xoVMAu70QFdiUpAY+3n57grwxYmRglfG26zzysPTu3Uv0RSyv6b333renk3W7jzJlSsu0d6ckql7tH2g/wS1Iof2EEW+8JuXLl/faXHsNxK5dn0lwqq9XXh5mjzT3XHEyF9QR702btRBdryVu6t69q91HjXucfQQQQCCcAubXgMN5VepGAAEELrKA/hD9xohRrq24775aol8u3d7mj1uBfiFv0qSRtWD1RNE3fUzp2PHj1tRGb5myjcc/mjHTmKcZzZo2kZYtHk1U0EPPK1K4sAwfPsQabZBRdx3TbCuIcejQYcc808HJk6eYsiR/vnwyaeKERAU9tDI1rlu3jnTq1MFYt2Z8Mmu2a74pc/z4d1yDHjql1dQpk8Rr0EOvo23WoFH7J9qZLmsfnzp1mhw9etS1DJkIIIAAAggggAACCIRa4M8//7QCDH3jBT30Tf1wpJPWlE9ua/PpdZ/s1NF6iapPooIT2lYdTf722+Os6XNzG5uui4ZPn/6hMd8pY8qUqa5Bj+LFi8mUyRMTFfTQ62i/aOKE8QnOCDBw0GA5d+6cnhJxSYNCHTt2dgx66JTJ+mIeCQEEEEhuAQIfyS3O9RBAICIE5lmLbesbKaZUr15deenFAYn+ku2rr0Tx4tLLmgbJLekQbLch0nHP3bt3r6z+2TzXrk7JpaMcgk0a/OjTp7fxdA0WLVniPl1T4Mk6DHzLFvPC4IOHDJSyZcsEnpKobQ3w3HzzTcZzdLH6HTvcp8SKe7J2JD6a+XHcw/797Nmzy+RJE0XXTgkmPW5N56WjOkxJF3/XUTIkBBBAAAEEEEAAAQSSU+CVV16T7dt3xLqkTu3apnWrWMdCtaPrZJw4ccJYnU5t1bp1S2N+QhkVK1SwgglvS9q05ilpP/jQe+BD14acbAU+TEmDF5MnTUj01MC++rSdOh2yjnAxJX0JTfuxkZZ0ZE3Xrt1k0+bN8ZqmI/t1RgISAgggcDEECHxcDHWuiQACF11g+gfmL7m6WHXXp5+SpL7dVLv2Q1Kjxj3Gez1y5IinRQN9Fcx1+ZKrbU1KoMZ3jVr31nR9Q2nJkqW+ogl+zpr1ibFMtapVRDsjSUnn7/kFe45eUz1z580zZTke/+mn5aLBB1PSN5USOz1Z3Loebd5MMmfOHPewf3++Nc8vCQEEEEAAAQQQQACB5BJYuOgHceofafChUOFCIW+Gvmz07rRpxnp17bsGDeob871mFCpU0LUeDfR4WcRdrzdjxkfWqPDTxkvrqP+sWRM3jbFTZe2taW814GRKM2fOMmVdtOMDBrwoS5Yui3f9atWqSv9+zyW5Xx2vYg4ggAACHgUIfHiEohgCCKQcgX3798uPP/5kvKFHHqnt+mXTeKJDxnPWWztuU17Nnev9h3ldrM+UKlS4JuhRCHHrLFO6VNxD/v0NGzb6t902dCHyH60ggim1e+JxU1aijmsQonjxYsZztm3bbsxzyvj++wVOh+1juuh4w4ZJ74Bp0MOtnp9//kV0KjQSAggggAACCCCAAALhFtD1Kvr16x/vMvqjdf36deMdD8WBlatWuU4t26B+vURNN+zWpsfatBZ9sc2UZrqM9g48Z8HChYG7sba1n/CIy0iNWIUT2MmVK6c0a9bEWGrZjz+KW7/QeGKYMsaNG+84Yj1Xrlz2YuapU6cO05WpFgEEEEhYgMBHwkaUQACBFCawds1a4x1dfvnl0qhhA2N+YjP0R2636Zh+/XWL5yp///2Qsew111xtzEtsRslSJY2nHD7ibY0PvS/Ton9VqyR9tEdgA0uVdGnvYW/t9dX3/QJz4EODFW4jNXx1ePnUkSPp0qVzLKrTny1auMgxj4MIIIAAAggggAACCIRSoL/1tn7cdfz0O6++qR+utGjRYmPVur5igwb1jPmJzdAXpdymzPrq629cR3Lo9XRKrl9+WWO8dJ06D1trJWYy5ic2o8Wjj4qOenFK+oLZrCDXMnSqLynHli5bJmPGvhmvCh2Z/6I1bXRMTEy8PA4ggAACySlA4CM5tbkWAghEhMD69RuM7bj99tskf/78xvxgMqpXq2Y87dBhczAj7km///573EP+/dy5zAv3+Qt53ChZ8kpjyRMnTnpal2T58hXGOqpXN3sYT3LJcA3UHD7icmbsrE2bNsn+/QdiH/xvTwNioVyQT9cKecCa79aU5ruMPDGdw3EEEEAAAQQQQAABBBIjoFPTOo1A79mju+TNmzcxVSWq7A/W1FqmdG/NmqLflUOZGluLnadKlcqxSl3UfanDNE2BhTXfbW3Gxo0bBRZP8namTBmtESS1jfXMmz/fmJdcGYcOHZJevfo4uuiIFZ3amIQAAghcbAECHxf7CXB9BBBIdoF169cbr3lvzRrGvGAz8ubNYzz1cCJ+mHd7Y8Z6qSZZkg4T1yBAQmnXrl3GIjrXbihTwYLm+k6dOuX5UvPnLzCWLVasmPGtK+NJCWRce921xhKLFy+Wv/76y5hPBgIIIIAAAggggAACSRHYvfs3GTJ0eLwqbr/tNnnggfvjHQ/VAQ0g7Ni501hdmbJljHnBZuhIa7c+Q0LT+bpNnxuTLZvowuahTldccYWxSm3P2bPnjPnhztBn2LNXb9E1K+OmMmVKy5OdOsY9zD4CCCBwUQQS/vXqojSLiyKAAALhE9jp8kU7Xxi+tMZkNw/xPW6t5aDDlb2kokWLGIslJoBirOS/jC1bthqLFClS2JgXmHHQZXRKqBdIPHr0aOClY20XLFgg1r7bzqrVq43ZV19V3pgXbMZVLnWePn1GNv/6a7BVcx4CCCCAAAIIIIAAAkYB/eG6T5/n5MyZM7HK6ItWfa01CsOZtP/jNnqiQIhH3/vupVixor7NeJ/rN5hnBNDCTj/w+yrJXyC0swX46i1W1Nzef/75RzZv3uwrmuyfY98cJz85rOeoa1sOGTxI0qRJk+xt4oIIIICAkwCBDycVjiGAQIoWOHfO/CZ9njyhmzLKh3j61GnfZrzPDBnSi86B6iUVKWIOfGzZ4n2tkISu5Rr4KOwx8HHwoPEyhQsVMuYFk+G2uJ9bByfutfbu3Rf3kH//qquu8m+HaqOIZalzDpvS3j17TVkcRwABBBBAAAEEEEAgaIHxb78jq3/+Od75fXr3kpw5ndeWiFc4yANuQQStMl/+0I+e0Hrd+gUJjfg44vKiVThGeyTUXs1PqM1aJhxp2bIf5a233nasumPH9q7OjidxEAEEEAijQOow1k3VCCCAQEQKmKYQ0imccuXKFfI2u325T8z8teXKljW2bdmPP1mL8p2xFtXLaCzjNeNXl5EG5cqZ2xBYf5UqN0jpUqUCD9nb6dKnk4wZk97GwIqd5iX25RcvVty36fqpo2727zcHPq6+OvSBD21Q+fLlZfHiJY5t27dvv+NxDiKAAAIIIIAAAgggEKzAunXrZOzYcfFOv/femnL33XfFOx7qA0ePHnOtMlwjPtz6BdpfO2i9uJUnj/MUxUePmEeYh2vEh/aZtD3aLqe0YaP7KBWnc5J6TPubfZ/r5zhip0SJEqJrqZAQQACBSBIg8BFJT4O2IIBAsgiYAh/ZrSmpTIveJaVhe1ze3E9U4MMKOlSuXElWrlwVrznnzp2TsW++KV2f7hIvLzEH9Ef41avjv/2ldWTOnFkefti8yF7gdTp17BC4G7btBQsWis5P7JT0Wd50841OWfGOHbE6M6Z5cjUg5rbge7zKEnFA58A1BT727jMHYhJxCYoigAACCCCAAAIIIGAL6ELez/buKzpVUmDSl7969ewReChs26nTmH+GypAhg+iaguFI2XOYpx/W661fv8EY+Ejj0ua8efKGo7l2ndpXNAU+tL3JnUaMGCkHDhxwvGzPHt3D0pd2vBgHEUAAAY8C5v/ieKyAYggggEC0CfR7vq/jWyr6w344kumHbb1W8WLFEnXJx9q0lifaOy8WN3nyVKlUqZLccfttiarTV/jEiRPyfL8Bvt14nw0b1reDH/EyLtIBDXj0tuYmNqWHaz8kOp2Ul7TPJciQzVqwMHXq8PznMldO8wgjtzZ5uSfKIIAAAggggAACCCAQKPDyK6/Kjh07Aw/Z2/36Pec6BWu8E5JwICabOQChL3PpSGyvUwEnphnHjx13Le72slo2a+0TUzp79qwpK8nHjx8/ZqzDrb3Gk5KQsWbNWpn+wYeONdx55x2iI/5JCCCAQKQJhOeXnEi7S9qDAAIIBAjoMO7kShpMcFs0u3r1aolqipYvX66crFu/3vG856yhx1dOm+L5B39fJX///be88MJLxjeKdAqtpk0a+4pf9E9diLHzU0+L+jqldOnSyuOPP+aU5Xhs717zehrZXTo6jpUl4qDbwvf7XNYcScQlKIoAAggggAACCCCAgCxcuEg++GBGPAkd0X3zTd5GScc7OYgDMTHZjGfpSJRjx45JYkbFGyuLk3H48JE4R2Lvnj5jXpcxxnoRypQOHTpkykrScV0A/qjL2iKnT5vbm6QLO5ysfcUBL7zo+PJgunTppHu3px3O4hACCCBw8QVY3PziPwNagAACKVhgypR34w0l992uTqFULZGBDz136NDBxkUHT548KfXrN5IRI0eJbntJP1rrg9Sr11C+/uZbx+I62uHl4cPC0gFxvGACBzdu3CQdO3WWrVu3Gks+1bmzcai600lu62lkz5Hd6ZSQHHMLquzbzxofIUGmEgQQQAABBBBA4BIX0B/Q+/WPP7I7f/781o/WXZNVJ2vWrKL9IFPauGmzKStJx39Zs8b1/NOnzIGEbC7Bmk1hau/mzb8ap+LVG9HAiE5dlhxJZxbQ9jilli0fFf13REIAAQQiUYARH5H4VGgTAgikCAFdJG/qu9OM93LzzTeJ29tDphMLFSooo0eNlFat29gLmsct98cff8j48e/Yb3Tp9FQ6QqRI0SJSqGBBSZs2rehoie07dsj2bdtl/vcL5BtDwEPr1WHmA/o/L9WqVY17mWTf37Jlq4weM1Z0MXMdAm9Kur5I48aJW1jvzB9nTNVJTBhHfLi9zabPiYQAAggggAACCCCAQFIFBgx4UQ4dOhyrGv2e/8KAfqIju5Mz2evnXXmlbNrsHOBYZI1MqVa1SkibpEGC5ctXuNZ52uW7d5kyZYznakDl+PETIZ8qTF9OSyjpYuPp06dPqFiS8n/7bY+1luQ4xzpy5swhrVq2cMzjIAIIIBAJAgQ+IuEp0AYEEEhxAvrlWtefMP14rQGIpLxdpYtiv/bqK9K9ew85dtx5vlqdBmrcuPF+W+1k6BtWx63yboED3wk6XVS3rl3lvvtq+Q6F9VMXnf/uu7l2cEbbp4Gjnbt2y65du2Tnzp3W527H4dWBjdLprdq0aRV4yNO2XtuUsmXLaspK8nG3unVIebjmOE5yw6kAAQQQQAABBBBAICoEPv54lsydNz9eWxs2bCDXX39dvOPJcaBSpYrGwMecr76WDh2ekIwZQxeQ+fzzL+TUqVOut3baJb9SxQrGc7XfN3v2bGnWrKmxTGIztB8w46OZCZ52+vQp40wACZ7ssYDOJGBax6R582aiU12REEAAgUgVIPARqU+GdiGAQFQLjBo9RtwWNW/RorkULlwoSfd4ww3Xy6efzpLRo8faC83pl263pPk6Z66XdOON1aVXzx5JbqOXa/nK6BfqHj2f9e0m6rNIkSLy7LM9g347zC3wkSpV+P5TmSpVKtf71HZpkIyEAAIIIIAAAggggEBiBXbv/k2GDns53mlFixaVpzp3inc8uQ5UrlxJ3p/+gePldM0MHWHwdJenHPMTe1BfRHvt9REJnuY24kNHaRcvXky2b9/hWM+YsW+KriOZK1cux/zEHpw27X37xa+EztMRH+FMmzf/Kl9ZgSinpDMX1K9X1ymLYwgggEDECJgnVoyYJtIQBBBAILoE3hr/tj3VlKnVOgdqm9aJH5XgVJ+O4OjZ8xkZPOgl17lync41HdMv7SNHvJ6sQQ9TW7wcb/tYG/loxvSggx56jb/OmUd8XG5NAxCu5Da/sd2uv/4O16WpFwEEEEAAAQQQQCAFC9gj0Hv3jTcCXb9/vvBCv7BPkeRGe91114nbC0BTp05zXc/Pre64edo387IAudsaH1pn1armqX81ADH85VfjXjqofR31bppaKm6F4V7gfOSo0caZApo0bRzSUTlx7419BBBAIBQCBD5CoUgdCCCAgCWg0xK9+urrMnLkaFePZ7p3DdmQ4F27d1sjHfpIz169E5wGyrVRAZlffjlHHqpdR2bOnCVuIyECTrmom7M+mS1vvfW27N27N+h2uN3n5QmMygj6otaJl13m/p/hv/46l5TqORcBBBBAAAEEEEDgEhXQNf9+/uWXeHff4tHmUuGaa+IdT84DujbEPffcbbzkP//8IwMHDjHme83QES8aRPGS/jz7p2uxBvXr2esfmgppH+qnn5absj0ff2PEKGsdR/NC64EVhXNx819+WSPfW+tBOqXMmTNL40aJW1PRqR6OIYAAAuEWcP/FJdxXp34EEEAghQjoOhudOnWWiZMmu97R/fffJ3fccbtrGS+ZOmVVv/4vSG0rQPH5F1+GLOjhu7auq9F/wAtS674H7Wm0fMcj8fPgwYMy7q3xdlvbtWsvCxf9kOhmugY+Lg/fiI9Uqdz/M+zWrkTfJCcggAACCCCAAAIIXBICa9eucxw1ULLkldK+fbuIMGhmjRhwS8tXrLBf8Prjjz/cihnz1q1bJ+2eaC/nznl7kSh9OvdFwosXLyY3WdMBu6Xuz/SUpcuWuRUx5un3/uHDXxFdk8VrCufC5rq2hylp0EODHyQEEEAg0gXcf3GJ9NbTPgQQQCACBFb//LM0bNA4wR/c69atIy8M6JfkFh8/fkLatn3C/lKsb0OFM2lQYeDAwfK6h3lxw9kOL3XriJslS5fZASjTnMGmev5nnWtK//ufOc90jtfjCdWd0LotXq9DOQQQQAABBBBAAIFLQ0ADBc9aU1zF7SekTp1aXnxhgKRJkyYiIMqXLy/XXlvZtS36glfjJs1l2/btruUCM7VPMGXKVGn+aCv57bc9gVmuUwOnz+Ae+NCKHrVGy7ilo0ePyhNPdJSxY8cl6sU0beejVnunTH03XvVuU+OGK/Dx448/if45Jb2mTnNFQgABBKJBIHwrtkbD3dNGBBBAIAkCZ8+ek1GjR1tfrN9N8Ittq5YtpHMIFhA8deqU/ebSps2bE2x5pkwZpWyZslK8RHG5wvrTz/z58okGTnSe25WrVsuiRYuMi/QFXuCdCRPtqbyeeurJwMMh3dYv0S8PHyqZs2SWLNYbRPoWkQ7f3rVr939/u2THjp32kH3t0JiS5g0aNMSepqtZ0yamYrGOp0lj/s/hXx7fEotVocedcwlMZRUpHVOPt0MxBBBAAAEEEEAAgYss8PIrrzkujP1428ekTJnSF7l1sS/f7/m+0qBhk3jrkASW2rZtmzRu3Ex6PNNN7ruvlqRNmzYwO9a2TgM8dOhwWbhwUazjvh2dcnjwkGG+3VifGTJkiLXvtHP99deJvsw2Y8ZHTtn2MX1xSRc7X716tRWA6iVFChc2ltXRKF/O+UqGWG1ymt6qfLlyUuKKEvLpp5851pHBQ7DG8cQEDrrNYlDDmqJMFzYnIYAAAtEgYP6lJxpaTxsRQACBiySgc54+93w/T0GDzk92klatWiS5pbpo3hPtO8r69Rtc69K3gurXq2uVbef6pVSn3OrWtYvMnTff+rI9VPbvP+Ba74SJk+Rya2qmJzt1dC0XbKa+hXbXXXfGO7106dgdNL3/V1973fgWkq8CHSqub7rpPMYJpTSpzW++eR0en9A1nPITCqq4deyc6uMYAggggAACCCCAwKUrsGDBQvnwwxnxAPQH9NatW8Y7frEPFClSRHo/21N693nOtSk6ikWn+dUFxO+4/TYpWbKk5MmT2w6C/G690LV//375YdFicXs5TAMW119/vfE6GayXsLwkDZ6ssl4g27p1q2txHYn+wAO1RUe23HhjNclnvYCWM0cOOXnypGibN2/+VRYsWGAFPM441pMxY0YrSDPQdeS9l2CNY+UuBzV4tHjxEmOJR+o8bMwjAwEEEIg0AQIfkfZEaA8CCES0gH4xHTFipL3uRULTEKVLl1Z69ughjzxSOyT3NNEKPGjAxS1Vq1ZV9Mt4iRIl3IrFytPOQ7WqVewh2Tq8Ou6w+MDCEyZMkocefECKFi0aeDhZt8uVKytvjRtrTy32ivVGm74FZkpvvDFSatS4xx7pYiqjx90CDOes+XbDlXTUkFtixIebDnkIIIAAAggggAACPgGdZqlf/wG+Xf+n9klefGmApEqVyn8skjZ0DcR169fLtGnvJ9gsHf0+2zD6we3kEsWLS/duT7u+QOY1iJAuXToZPmywPNa2nTWK/rDbZe08XWtE/xKbevZ8xh4tcuLECeOpXttsrMAh44PpH9oj/R2y7D5mxQoVnLI4hgACCESkAGt8RORjoVEIIBCJAt9/v0AeqVNX3nt/eoJTW+lbVdPffy9kQQ8NuOh13VIja5G5sWNGJSro4atPvzR36WItzj7hbdcggAZ7Jk+e6jvton7efNONdnvz5ctrbIcGcXSO34SSW4AhnCM+mOoqoSdDPgIIIIAAAggggIAXgf79X5TDh4/EK9qxQwfRH/4jOfV4prvolLqXXXZZyJtZqlRJGTnyddFpdXW0hSl5WePDd66+ZDZ1yqSg+l2+OkyfOnpf+2X6spkm1zZ7HKViulbc4zrN8CezP4172L8fqhf6/BWygQACCIRZgMBHmIGpHgEEol/g2PHj8uyzfeTJzl0SnA5K36Rq166t9WP7RClevFjIbv6DDz90/dKroyC6Pv1Ukq93zTVXy9PWF2239Olnnzl2qtzOCVdetmxZZcjgQa5vsM2cOcte18StDald1vgIZ+Djr3Pm0STa6XFbzNDtfshDAAEEEEAAAQQQuHQE9PvuvPnz491w5cqVpGmULETdssWj1vocg0W/34cq6cjvKZMnSsGCBe0q3UZPZM2SuOvmz59fJk96R2699ZZQNde+99GjR8aaqvfECedgjY5YD/Xi5l98MUdMRnq9Bx64P2T3SkUIIIBAcggQ+EgOZa6BAAJRK/Ddd3OtURt15fMvvkzwHooXL2YHPJ5o97jrD/EJVhSngE6HNNWagsqUMmXKJEOHDBa3UQumc52O68gRXf/DlLQ97ycw+sR0bjiOV6xYQTp2aG+sWucE1sCRW0qXNp0xO5yBD7e63abfMjaWDAQQQAABBBBAAIFLSkDXZBg2/OV496wjugf07xdVL9Lcc/dd8vlns6VVyxaiU0oFm2JiYqS7Nf3v0CGDYgUHDh+JPyLGd40iRcyLkPvKxP3MkiWLvPH6q/Y0vDriPympapUq8t60qfYUxIH1HDG0uZAVzAn1CJn3p38QeOlY27db0yOzqHksEnYQQCAKBFjjIwoeEk1EAIHkFzh27JgMHDREvvrq6wQvrl/KW7dqKS2st5R0Dt1Qpw0bNrjOH6trehQuXCikl+3f7zlrPZFfjNdduWpVSK+X1MpatnxU5sz5yrig4VJrccHH2rQ2Xia3tTiiKZkWHDSVT8zx02dOG4vnyZPHmEcGAggggAACCCCAAAI6rWvv3n3lzJn4C2Q/3eWpkPcRkkNcgwmdO3eSRo0ayOzZn1nr+i2y1zlMaH1FbZtOa9XYeomrVq1ajv2ynTt3Gm9BF1oPNt1ww/Xy7ruTRadGnjt3niz64QdPI+S1H3n/fbWkceNGcuWVV8S7/MGDB0Vf4nJKRYoG316n+nSdlU2bNjll2cdqP/SgMY8MBBBAIFIFCHxE6pOhXQggcNEEFi76Qfr2fV50gcCE0m233So9nukmBQoUSKho0Pm7rbe4TEmHN9esWcOUHfTxrFmzWh2Ge43reezZszfousNxor7tpA6bNm92rH7Pb3scj/sOFnR5ftrhCFc6cMBcdwFr+DwJAQQQQAABBBBAAAGTwKpVq+2gQNx8ndqpYMECsnjxkrhZid7fsmWr8ZwlS5YaR7pnz55dypYtYzw3oQx9CahNm1b23/HjJ2TZjz/K/n37RUdA6N9xa9HvHDmyS6GChaRQoYJSrFhRKV26tGu1O3aYAx+FCyd+xEfgxbQ/on1D/fv3339lvfXy2vp16622HvW3+V/rBO13aHsLFSok5axRIm5Te7m1N5gRKoHtjbv97bffxT3k39cZBq6//jr/PhsIIIBAtAgQ+IiWJ0U7EUAgWQS+/HKO9O7znOjbU25JR1j06PGM6ALb4U67f/vNeIlqVavGGr5tLBhExl133WkMfBw4cMA20jVNIiXdeuvN8vobIxybc8AKXvz999+SOrXzf/by58/neJ4ePHz4cNjuVR1NKX8BAh8mG44jgAACCCCAAAIIiJhGQezZs0fad+gUdqKOncxrA95yy80y4o3XQtIGDQ7oNFhJTaZAQq5cOSVTpoxJrd5/vgZBdOqrpE5/ZWqvXqhoEkao+BsasPHdd/MC9mJv3li9WsimVY5dM3sIIIBAeAWcfwEK7zWpHQEEEIhIAV0U8IUXXzJ2ILTRuth0ixbNRdfxSK41GH5zGa1QpGjS3kxyexDFixUzZmsna//+/f6FAn0FdSj2+Lff8e3G+tR5aB9+uHasY6HccRt1o+3du2+fFDG8yZU3b1772Tp1HvXY778fknz58oayuXZdBw/+bqyTER9GGjIQQAABBBBAAAEEEEiUgI4aMa2XkZRprhLViEQW3r5ju/GMULZ569at4jYNmI5iISGAAALRKEDgIxqfGm1GAIGQC7z77nv2ooA6LNmU9EfzF17sLxUrVDAVCcvxvXvN00rlzpUrLNfUSnW6K5139uzZs47X2L//QLzAx+WXp5Lx450DH/nz5Qtr4EMXcNQ3tUxrcuzbaw586EiQ3Llzi2kExrZt28IS+NBOhim5jUIxncNxBBBAAAEEEEAAAQQQiC+wctXK+Af/O3LFFfHX1zAWTsaMFSvM6yqWKFEiZC1xG+2hL/7ddNNNIbsWFSGAAALJKXB5cl6MayGAAAKRKDDurfEydNhwey5WU/vq168rH3zwXrIHPbQ9uo6HMVnDqMOZ3AJBGmiIm3Rxd9NImH3WCJHTp82LecetK5h9l7iVOLU38BpugYaVK82djsA6ErOtAZpNm5zXJNF63EawJOY6lEUAAQQQQAABBBBA4FIXcFvvpGqVGyKO5/DhI7LZsH6hLoSu03OFKn373VxjVZUrVXJdh8R4IhkIIIBABAgQ+IiAh0ATEEDg4gm8P/0DGTVqjLEBupDbmNEjpfezvRL84dxYSRIzcuY0f6k9Yn0hDlc6efKknDt3zli96ct21qxZjOf8umWLMS+pGRpIOHPmjLGa3LndR8eULlXKeO6KleY3xIwnJZDx888/G6dV0zerrrA6NCQEEEAAAQQQQAABBBBIuoAuxO6UdM3CqlWrOGVd1GNLly41vph3443VQ9Y2nVZ506ZNxvpuvfUWYx4ZCCCAQKQLMNVVpD8h2ocAAmET0HlMX3nFvOCeTps0ZsxIqXDNNWFrg5eKc7kEPnTdinCl7dt3GKvWBfty5MjhmB8TEyOHDh12zNvy65awjZrZtWuX4zV9B3MlMC2Yfqmf/sGHvuKxPtetW2dP+aVTf4Uq/bR8ubGqChWukZhs2Yz5ZCCAAAIIIIAAAgggkC0mm1S3Fp4OZzp48KBs2eI8PWu1alVF+wVOqWzZMk6H7WP//POPdH+mp+MP+wULFJBu3Z42nhtMhvZrdu/+zfHUa665WjJnzuyYF3jw8y++lG+//S7wkH+7VcsWcvXVV/n3Q7Hx/YKFxmpurB66wMfSZcuM19GMm24K3bVcL0QmAgggEAYBAh9hQKVKBBCIfAFdsLp3n+eM61dkzJhRRo+6+EEPlczlMlJh6dJl9qgBHSEQ6rRw4SJjlToKRdfFcEoaKDJ1jlat/lnq1q3jdFqSj337nXNHRCvWIE2aNGlcr3H99deJPnenUSNnz56TTz/7XOrWecS1Dq+Zf//9t3z66efG4iwgaKQhAwEEEEAAAQQQQOA/AR2xrKPTw5lmfTJbnn++v+MlRo543dgncDzhv4M6ykJfLNI1A+Mm7de0bdvGXm8wbl6w+9Pee894qtfA0V/WSPi5c+c51lOwYMGQBj402PSdYfopnb63UqWKju0I5uCaX9YYT9OAUPHixY35ZCCAAAKRLhD6X8oi/Y5pHwIIIGAJfDzrE1mzZq2jhX6ZHD1qhFSsmLyLmDs2xjp4ww3Xm7Lk2LFjsmJF6Kdh0gXNv/jyS+N1b3IZXl3FZY7cL6w3pTZv/tVYb7AZOiXXF1/MMZ7uZTi4rk3i1vF59933HN9KM17UJeOrr76W33//3VjitltvNeaRgQACCCCAAAIIIIBAtAuYFhTXF9T05a5QJe0vffLJp8bqbrn5ZmNeYIapvVrmh0U/BBZN8rb2O/RFKaekfS3TmopO5RM69vMvvxiLlC9fzjiix3gSGQgggEAECRD4iKCHQVMQQCB5BPTL9IQJE40XGzZ0cEjfojFeyGOGvsmlbxGZ0ogRo0xZQR9/9bU3ROd7NaU777zDlGUHakxD3tV+yNBhxnODzRgyZJjs3bvXeHqNe+425gVm3OYyh+22bdvENDdwYB1etqe+O81YrGjRolKsWFFjPhkIIIAAAggggAACCES7gC7QbUo//LDYlJXo41Omvmsc5V+5ciUpU6a0pzpLlCghplH227Zvl33793uqJ6FCGqiZ8dFMY7EmjRsZ8xKbceLECdmxY6fxtFBP32W8EBkIIIBAmAQIfIQJlmoRQCByBfRte9Mcr3fcfpvcfPNNEdf4O+643dgmfUvH7cux8URDhs7z+v770w25Irr2idsCgNmzZxftRJjS8uUr5JtvvjVlJ/q4Dr93u/8sWbK4tjfwgvrsTR0aLTdw0GA5depU4CmJ3tbO1/r1G4zn3XYbCwgacchAAAEEEEAAAQQQSBECt992m/E+vpwzR35xmYLJeGKcjFWrVlsvvE2Kc/TCbqtWLS/sJLClfSCdGteUhg17Ocmjw//99197OmZTf6N8+fKuswGY2mY6rjMg6DVN6aqrypuyOI4AAghEhQCBj6h4TDQSAQRCKTBlyruO1ekoha5dQ7uQnuOFgjhY+6EHXX+Qf+mlQTJv/vwgao59ytGjR+W55/q7fgFu0KB+gsOr2z3eNnbFcfZefvlV16me4hQ37m7cuEkGDhxkzNeM+vXrJri+h68CXZjdLfClATNdG8atg+Cry+lTO1+vvvq6U5Z9TP8N3n/ffcZ8MhBAAAEEEEAAAQQQSAkCOq2waVS7rq/X+amnXUd0J2Rw7Phx6dnrWdGF1J1SqVIl5eabbnTKMh67/37z93Rdk+M1a9R8UtLESZNlkcu0Wa1btUhK9fHO/WWNeX0PLXz1VVfHO4cDCCCAQDQJEPiIpqdFWxFAIMkCulDcuvXrHespV66cFCpknlLK8aRkOqhDwTXgYEo6hVS3bj1k6LDhokOWg0lffDlHHqlTXw4ciL/IoK++PHnySNvH2vh2jZ+6Lsl111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

Geekbench 5

https://catcat.blog/wp-content/uploads/2023/09/image-30-1024x233.png

SpeedTest

https://catcat.blog/wp-content/uploads/2023/09/image-31-1024x439.png