AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
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phoronix-test-suite benchmark 2404067-NE-LFLD4610042
lfld
AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1802 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.5.0-25-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.54), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1802 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.5.0-25-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.54), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1802 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.5.0-25-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.54), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160
BRL-CAD 7.38.2
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 520682 |===================================================================
b . 522046 |===================================================================
c . 518977 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 9.37 |=====================================================================
b . 9.28 |====================================================================
c . 9.34 |=====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 59.39 |====================================================================
b . 59.16 |====================================================================
c . 58.03 |==================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 77.71 |====================================================================
b . 76.70 |===================================================================
c . 76.07 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 99.75 |===================================================================
b . 99.54 |===================================================================
c . 100.26 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 11.17 |====================================================================
b . 11.18 |====================================================================
c . 11.09 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 7.58 |=====================================================================
b . 7.60 |=====================================================================
c . 7.46 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 131.52 |===================================================================
b . 131.69 |===================================================================
c . 131.83 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 47.61 |====================================================================
b . 47.95 |====================================================================
c . 47.32 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.31 |====================================================================
b . 13.40 |====================================================================
c . 13.14 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 51.17 |===================================================================
b . 51.37 |===================================================================
c . 51.87 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.95 |===================================================================
b . 14.07 |====================================================================
c . 13.93 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 52.21 |====================================================================
b . 51.43 |===================================================================
c . 51.79 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 14.01 |====================================================================
b . 14.02 |====================================================================
c . 14.07 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 51.24 |====================================================================
b . 51.10 |====================================================================
c . 50.99 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 15.29 |====================================================================
b . 15.26 |====================================================================
c . 15.32 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 36.04 |====================================================================
b . 34.83 |==================================================================
c . 35.36 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 14.10 |====================================================================
b . 14.03 |====================================================================
c . 13.98 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 30.34 |====================================================================
b . 30.16 |===================================================================
c . 30.56 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 30.43 |====================================================================
b . 29.44 |==================================================================
c . 30.14 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
a . 30.09 |====================================================================
b . 29.73 |===================================================================
c . 30.14 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 11.69 |====================================================================
b . 11.70 |====================================================================
c . 11.72 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 11.66 |====================================================================
b . 11.56 |===================================================================
c . 11.52 |===================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
a . 11.53 |====================================================================
b . 11.54 |====================================================================
c . 11.47 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 7.82 |=====================================================================
b . 7.75 |====================================================================
c . 7.73 |====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 5.94 |=====================================================================
b . 5.96 |=====================================================================
c . 5.93 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 5.93 |=====================================================================
b . 5.90 |=====================================================================
c . 5.90 |=====================================================================
PyTorch 2.2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 5.92 |=====================================================================
b . 5.92 |=====================================================================
c . 5.94 |=====================================================================
Llamafile 0.7
Test: llava-v1.5-7b-q4 - Acceleration: CPU
Tokens Per Second > Higher Is Better
a . 15.70 |====================================================================
b . 15.79 |====================================================================
c . 15.70 |====================================================================
Llamafile 0.7
Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU
Tokens Per Second > Higher Is Better
a . 10.33 |===================================================================
b . 10.42 |====================================================================
c . 10.35 |====================================================================
Llamafile 0.7
Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU
Tokens Per Second > Higher Is Better
a . 3.05 |=====================================================================
b . 3.06 |=====================================================================
c . 3.05 |=====================================================================
Timed FFmpeg Compilation 7.0
Time To Compile
Seconds < Lower Is Better
a . 31.10 |====================================================================
b . 30.83 |===================================================================
c . 30.95 |====================================================================
Stockfish 16.1
Chess Benchmark
Nodes Per Second > Higher Is Better
a . 60626388 |=================================================================
b . 59422978 |================================================================
c . 57142188 |=============================================================
x265 3.6
Video Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 24.55 |====================================================================
b . 24.39 |====================================================================
c . 24.45 |====================================================================
x265 3.6
Video Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 45.31 |====================================================================
b . 45.57 |====================================================================
c . 45.00 |===================================================================
Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 42.71 |====================================================================
b . 42.62 |====================================================================
c . 42.52 |====================================================================
Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 63.19 |===================================================================
b . 63.60 |====================================================================
c . 64.00 |====================================================================
Blender 4.1
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 115.60 |==================================================================
b . 116.23 |===================================================================
c . 116.67 |===================================================================
Blender 4.1
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 53.41 |===================================================================
b . 53.48 |===================================================================
c . 53.89 |====================================================================
Blender 4.1
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 440.72 |===================================================================
b . 443.49 |===================================================================
c . 440.39 |===================================================================
Blender 4.1
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 135.10 |===================================================================
b . 135.77 |===================================================================
c . 135.16 |===================================================================
FFmpeg 7.0
Encoder: libx264 - Scenario: Live
FPS > Higher Is Better
a . 192.88 |===================================================================
b . 190.36 |==================================================================
c . 191.03 |==================================================================
FFmpeg 7.0
Encoder: libx265 - Scenario: Live
FPS > Higher Is Better
a . 68.63 |====================================================================
b . 67.94 |===================================================================
c . 67.71 |===================================================================
FFmpeg 7.0
Encoder: libx264 - Scenario: Upload
FPS > Higher Is Better
a . 12.31 |====================================================================
b . 12.27 |====================================================================
c . 12.33 |====================================================================
FFmpeg 7.0
Encoder: libx265 - Scenario: Upload
FPS > Higher Is Better
a . 13.56 |====================================================================
b . 13.56 |====================================================================
c . 13.53 |====================================================================
FFmpeg 7.0
Encoder: libx264 - Scenario: Platform
FPS > Higher Is Better
a . 46.41 |====================================================================
b . 46.37 |====================================================================
c . 46.47 |====================================================================
FFmpeg 7.0
Encoder: libx265 - Scenario: Platform
FPS > Higher Is Better
a . 28.17 |====================================================================
b . 28.05 |====================================================================
c . 28.09 |====================================================================
FFmpeg 7.0
Encoder: libx264 - Scenario: Video On Demand
FPS > Higher Is Better
a . 46.43 |====================================================================
b . 46.53 |====================================================================
c . 46.51 |====================================================================
FFmpeg 7.0
Encoder: libx265 - Scenario: Video On Demand
FPS > Higher Is Better
a . 28.14 |====================================================================
b . 28.05 |====================================================================
c . 28.03 |====================================================================
Timed Mesa Compilation 24.0
Time To Compile
Seconds < Lower Is Better
a . 15.85 |====================================================================
b . 15.80 |====================================================================
c . 15.75 |====================================================================
RocksDB 9.0
Test: Overwrite
Op/s > Higher Is Better
a . 382834 |===================================================================
b . 379919 |==================================================================
c . 382424 |===================================================================
RocksDB 9.0
Test: Random Fill
Op/s > Higher Is Better
a . 384236 |===================================================================
b . 384641 |===================================================================
c . 382241 |===================================================================
RocksDB 9.0
Test: Random Read
Op/s > Higher Is Better
a . 122971162 |===============================================================
b . 122722305 |===============================================================
c . 125016375 |================================================================
RocksDB 9.0
Test: Update Random
Op/s > Higher Is Better
a . 535854 |==================================================================
b . 545830 |===================================================================
c . 545086 |===================================================================
RocksDB 9.0
Test: Sequential Fill
Op/s > Higher Is Better
a . 391130 |===================================================================
b . 391156 |===================================================================
c . 390464 |===================================================================
RocksDB 9.0
Test: Random Fill Sync
Op/s > Higher Is Better
a . 5689 |=====================================================================
b . 5637 |====================================================================
c . 5511 |===================================================================
RocksDB 9.0
Test: Read While Writing
Op/s > Higher Is Better
a . 6378204 |==================================================================
b . 6342025 |==================================================================
c . 6326219 |=================================================================
RocksDB 9.0
Test: Read Random Write Random
Op/s > Higher Is Better
a . 3157205 |==================================================================
b . 3170105 |==================================================================
c . 3162012 |==================================================================