Tests for a future article. Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401111-PTS-FG69231050
fg
Tests for a future article. Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8 GB 3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8 GB 3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 10.62 |================================================================
b . 11.28 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 150.54 |===================================================================
b . 142.73 |================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 24.08 |=================================================================
b . 25.38 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 14.42 |====================================================================
b . 13.74 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 4.87 |=====================================================================
b . 4.67 |==================================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
a . 10310000 |===============================================================
b . 10700000 |=================================================================
Llama.cpp b1808
Model: llama-2-7b.Q4_0.gguf
Tokens Per Second > Higher Is Better
a . 18.35 |====================================================================
b . 17.79 |==================================================================
Speedb 2.7
Test: Read While Writing
Op/s > Higher Is Better
a . 4762697 |================================================================
b . 4899297 |==================================================================
CacheBench
Test: Read / Modify / Write
MB/s > Higher Is Better
a . 102291.25 |==============================================================
b . 104862.24 |================================================================
Llama.cpp b1808
Model: llama-2-13b.Q4_0.gguf
Tokens Per Second > Higher Is Better
a . 9.68 |===================================================================
b . 9.90 |=====================================================================
Speedb 2.7
Test: Sequential Fill
Op/s > Higher Is Better
a . 749586 |===================================================================
b . 735121 |==================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
a . 13720000 |=================================================================
b . 13460000 |================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 37.63 |====================================================================
b . 36.97 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 13.92 |====================================================================
b . 13.68 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 117.54 |===================================================================
b . 115.71 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 7.68 |====================================================================
b . 7.80 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 31.31 |====================================================================
b . 30.91 |===================================================================
Speedb 2.7
Test: Random Fill Sync
Op/s > Higher Is Better
a . 5791 |=====================================================================
b . 5755 |=====================================================================
Speedb 2.7
Test: Random Fill
Op/s > Higher Is Better
a . 700951 |===================================================================
b . 697334 |===================================================================
Speedb 2.7
Test: Random Read
Op/s > Higher Is Better
a . 77800094 |=================================================================
b . 78077376 |=================================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
a . 12400000 |=================================================================
b . 12420000 |=================================================================
Speedb 2.7
Test: Read Random Write Random
Op/s > Higher Is Better
a . 2159010 |==================================================================
b . 2156356 |==================================================================
Speedb 2.7
Test: Update Random
Op/s > Higher Is Better
a . 518065 |===================================================================
b . 518444 |===================================================================
CacheBench
Test: Read
MB/s > Higher Is Better
a . 9086.41 |==================================================================
b . 9090.52 |==================================================================
CacheBench
Test: Write
MB/s > Higher Is Better
a . 34706.65 |=================================================================
b . 34716.74 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better