ddf

Tests for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 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 2401089-NE-DDF54911740
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 6 Tests
Encoding 3 Tests
HPC - High Performance Computing 6 Tests
Machine Learning 4 Tests
Multi-Core 7 Tests
NVIDIA GPU Compute 2 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 5 Tests
Server CPU Tests 2 Tests
Video Encoding 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
January 07
  2 Hours, 54 Minutes
b
January 08
  2 Hours, 53 Minutes
Invert Hiding All Results Option
  2 Hours, 54 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

ddf Tests for a future article. AMD EPYC 8534PN 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads),AMD EPYC 8534PN 64-Core @ 2.00GHz (64 Cores / 128 Threads) Motherboard,,AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS) Chipset,,AMD Device 14a4,AMD Device 14a4 Memory,,192GB,192GB Disk,,3201GB Micron_7450_MTFDKCB3T2TFS,3201GB Micron_7450_MTFDKCB3T2TFS Graphics,,ASPEED,ASPEED Network,,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-5-generic (x86_64),6.5.0-5-generic (x86_64) Desktop,,GNOME Shell,GNOME Shell Display Server,,X Server 1.21.1.7,X Server 1.21.1.7 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,640x480,640x480 ,,"a","b" "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,7.44,7.49 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.54,0.51 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.27,0.26 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,21350000,21280000 "Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,16170000,16190000 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,16240000,16310000 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,11.63,11.68 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.06,0.06 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,20682.1,20732.7 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,20714.7,20732.3 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,40330.7,40146.1 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,4436.2,4442.9 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,20666.7,20071.9 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,20698.4,20683 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,39.643,39.484 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,176928.1,170381.3 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2634.4,2633.8 "OpenRadioss - Model: Bumper Beam (sec)",LIB,88.11,88.16 "OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,297.08,295.72 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,31.94,31.84 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,143.85,142.38 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,76.78,76.1 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,164.67,163.46 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,111.038,111.072 "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,9.87,9.87 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,1.947,1.958 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,30.46,30.45 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,35.21,35.14 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,299.15,297.84 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,17,17 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,5.97,5.97 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,155.77,155.78 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,51.06,50.8 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,315,354 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,272,282 "CloverLeaf - Input: clover_bm (sec)",LIB,13.67,13.93 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,57.21,57.09 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,36.8118,37.0225 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,852.1762,853.3085 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,27.5732,27.5404 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,36.2588,36.3016 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,1458.049,1454.9899 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,21.9243,21.9623 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,195.6,191.4824 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.1074,5.217 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,486.6043,485.7323 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,65.6643,65.7823 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,185.3007,186.2351 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.3901,5.3631 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,5.11,5.106 "Y-Cruncher - Pi Digits To Calculate: 5B (sec)",LIB,53.068,53.146 "Y-Cruncher - Pi Digits To Calculate: 10B (sec)",LIB,112.543,112.813 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,10.245,10.202 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3813.6379,3800.6772 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,8.3709,8.399 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,800.5916,799.9581 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,1.2456,1.2465 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,220.0706,220.1545 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,145.021,144.9123 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,145.6232,145.1485 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.8554,6.8775 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,46.9635,46.8626 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,673.3343,674.9861 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,30.3213,30.1617 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,32.9699,33.1445 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,485.9989,485.8785 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,65.6917,65.7405 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,185.9864,184.5078 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,5.3704,5.4136 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,222.2492,221.7174 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,143.5315,143.8442 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,147.2472,147.1485 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,6.7843,6.7891 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,323.0662,322.9189 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,98.8186,98.8586 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,130.9206,131.4576 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,7.6305,7.5994 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,64.0666,63.9058 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,496.3373,497.6216 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,41.0087,40.9888 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,24.3612,24.3739 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,698.3574,695.3481 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,45.7574,45.9477 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,63.2873,63.3431 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,15.7849,15.77 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,37.088,37.16 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,854.1221,853.694 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,27.5048,27.5295 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,36.3487,36.316 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,45.19,45.42 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,16.54,16.58 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,36.12,36.35 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,36.66,36.38 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,36.87,36.29 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,14.70,14.18 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,14.37,14.13 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,14.89,14.61 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,9.53,9.61 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.00,5.98 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.06,6.08 "PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.03,6.03 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,18.145,18.042 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,6.628,6.75 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,67.98,68.523 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,190.949,194.49 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,187.077,194.587 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,17.075,17.467 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,131.9,129.181 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,511.853,503.618 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,597.058,601.573 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,26.71,26.75 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,67.06,67.51 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,35.54,35.33 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,239.83,240.12 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,86.14,86.16 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,114.74,115.73 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,23.20,23.29 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,47.15,47.07 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,47.03,47.05 "rav1e - Speed: 1 (FPS)",HIB,0.85,0.85 "rav1e - Speed: 5 (FPS)",HIB,3.584,3.596 "rav1e - Speed: 6 (FPS)",HIB,4.851,4.891 "rav1e - Speed: 10 (FPS)",HIB,12.32,12.36 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,67.9313,67.1138 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,69.2031,68.5827 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,77.2581,77.103 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,69.0867,68.5948 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,83.8771,83.5831 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,71.4939,71.4428 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,211.562,223.062 "Speedb - Test: Random Fill (Op/s)",HIB,369023,367684 "Speedb - Test: Random Read (Op/s)",HIB,303866048,304143127 "Speedb - Test: Update Random (Op/s)",HIB,350612,361192 "Speedb - Test: Sequential Fill (Op/s)",HIB,371857,369178 "Speedb - Test: Random Fill Sync (Op/s)",HIB,239469,244535 "Speedb - Test: Read While Writing (Op/s)",HIB,15411684,15231425 "Speedb - Test: Read Random Write Random (Op/s)",HIB,2539184,2539687