2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED 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 2305011-NE-ZN838339286
zn
2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710
OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
OpenSSL 3.1
Algorithm: SHA256
byte/s > Higher Is Better
a . 152584380080 |=============================================================
b . 152693644050 |=============================================================
c . 152508733130 |=============================================================
OpenSSL 3.1
Algorithm: SHA512
byte/s > Higher Is Better
a . 48236952220 |==============================================================
b . 48315690210 |==============================================================
c . 48197587440 |==============================================================
OpenSSL 3.1
Algorithm: ChaCha20
byte/s > Higher Is Better
a . 434799000510 |=============================================================
b . 435044716540 |=============================================================
c . 434402920310 |=============================================================
OpenSSL 3.1
Algorithm: AES-128-GCM
byte/s > Higher Is Better
a . 464927934750 |=============================================================
b . 464448030860 |=============================================================
c . 464259772140 |=============================================================
OpenSSL 3.1
Algorithm: AES-256-GCM
byte/s > Higher Is Better
a . 424974892240 |=============================================================
b . 425089252010 |=============================================================
c . 424554074930 |=============================================================
OpenSSL 3.1
Algorithm: ChaCha20-Poly1305
byte/s > Higher Is Better
a . 285698755410 |=============================================================
b . 285959794140 |=============================================================
c . 286255847010 |=============================================================
Embree 4.0.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 128.02 |==================================================================
b . 128.02 |==================================================================
c . 129.41 |===================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 115.16 |=================================================================
b . 117.90 |===================================================================
c . 117.68 |===================================================================
Embree 4.0.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 72.60 |==========================================================
b . 83.22 |==================================================================
c . 85.24 |====================================================================
Embree 4.0.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 69.30 |=========================================================
b . 82.54 |====================================================================
c . 79.64 |==================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 4.699 |===================================================================
b . 4.765 |====================================================================
c . 4.769 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 66.31 |==================================================================
b . 68.75 |====================================================================
c . 68.69 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 146.39 |======================================================
b . 174.03 |=================================================================
c . 180.03 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 187.16 |===================================================================
b . 173.18 |==============================================================
c . 180.54 |=================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 10.08 |===================================================================
b . 10.15 |====================================================================
c . 10.16 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 103.43 |===============================================================
b . 109.92 |===================================================================
c . 105.24 |================================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 484.43 |=========================================================
b . 521.27 |=============================================================
c . 571.56 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 500.49 |==============================================================
b . 541.91 |===================================================================
c . 527.03 |=================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 24.73 |====================================================================
b . 24.79 |====================================================================
c . 24.70 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 27.17 |====================================================================
b . 27.33 |====================================================================
c . 27.26 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Slow
Frames Per Second > Higher Is Better
a . 60.62 |====================================================================
b . 60.72 |====================================================================
c . 60.15 |===================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Medium
Frames Per Second > Higher Is Better
a . 67.11 |====================================================================
b . 67.02 |====================================================================
c . 67.15 |====================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 46.42 |====================================================================
b . 44.67 |=================================================================
c . 43.75 |================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 45.43 |====================================================================
b . 45.07 |===================================================================
c . 44.29 |==================================================================
uvg266 0.4.1
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 47.56 |====================================================================
b . 46.27 |==================================================================
c . 46.24 |==================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Frames Per Second > Higher Is Better
a . 158.96 |===============================================================
b . 162.07 |================================================================
c . 170.10 |===================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Frames Per Second > Higher Is Better
a . 166.10 |===================================================================
b . 165.32 |===================================================================
c . 165.97 |===================================================================
uvg266 0.4.1
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Frames Per Second > Higher Is Better
a . 172.09 |==================================================================
b . 168.21 |=================================================================
c . 173.89 |===================================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 5.509 |===================================================================
b . 5.570 |====================================================================
c . 5.577 |====================================================================
VVenC 1.8
Video Input: Bosphorus 4K - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 8.875 |================================================================
b . 9.131 |==================================================================
c . 9.358 |====================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Fast
Frames Per Second > Higher Is Better
a . 14.66 |===================================================================
b . 14.74 |===================================================================
c . 14.88 |====================================================================
VVenC 1.8
Video Input: Bosphorus 1080p - Video Preset: Faster
Frames Per Second > Higher Is Better
a . 23.52 |===================================================================
b . 24.05 |====================================================================
c . 23.08 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 12.54 |====================================================================
b . 12.48 |====================================================================
c . 12.33 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.24 |===================================================================
b . 13.37 |====================================================================
c . 13.10 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.76 |====================================================================
b . 13.74 |====================================================================
c . 13.59 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 15.04 |====================================================================
b . 15.12 |====================================================================
c . 14.77 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 16.59 |====================================================================
b . 16.67 |====================================================================
c . 16.34 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
OpenVKL 1.3.1
Benchmark: vklBenchmark ISPC
Items / Sec > Higher Is Better
a . 489 |================================================================
b . 539 |======================================================================
c . 521 |====================================================================
OpenVKL 1.3.1
Benchmark: vklBenchmark Scalar
Items / Sec > Higher Is Better
a . 337 |==============================================================
b . 381 |======================================================================
c . 363 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 73.20 |====================================================================
b . 73.23 |====================================================================
c . 73.18 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 20.51 |===================================================================
b . 20.83 |====================================================================
c . 20.41 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 931.46 |===================================================================
b . 931.56 |===================================================================
c . 931.12 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 110.58 |==================================================================
b . 112.37 |===================================================================
c . 107.32 |================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 310.23 |===================================================================
b . 309.49 |===================================================================
c . 310.12 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 42.23 |====================================================================
b . 42.28 |====================================================================
c . 40.47 |=================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 409.68 |===================================================================
b . 409.40 |===================================================================
c . 410.16 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 111.84 |===================================================================
b . 111.95 |===================================================================
c . 111.43 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 829.94 |===================================================================
b . 828.03 |===================================================================
c . 826.51 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 148.86 |===================================================================
b . 148.36 |===================================================================
c . 148.13 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 609.62 |===================================================================
b . 609.86 |===================================================================
c . 607.01 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 152.26 |===================================================================
b . 152.09 |===================================================================
c . 150.05 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 108.36 |===================================================================
b . 108.23 |===================================================================
c . 108.44 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 28.91 |====================================================================
b . 28.76 |====================================================================
c . 28.90 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 307.29 |===================================================================
b . 308.48 |===================================================================
c . 307.58 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 58.39 |====================================================================
b . 58.04 |====================================================================
c . 56.68 |==================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 73.17 |====================================================================
b . 72.91 |====================================================================
c . 73.00 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 20.81 |====================================================================
b . 20.76 |====================================================================
c . 20.48 |===================================================================
PETSc 3.19
Test: Streams
MB/s > Higher Is Better
a . 180447.27 |==============================================
b . 251700.50 |================================================================
c . 250852.55 |================================================================
QuantLib 1.30
MFLOPS > Higher Is Better
a . 2765.5 |===================================================================
b . 2758.8 |===================================================================
c . 2760.6 |===================================================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 10.34 |===============================================================
b . 11.10 |====================================================================
c . 11.13 |====================================================================
RocksDB 8.0
Test: Random Read
Op/s > Higher Is Better
a . 454636874 |================================================================
b . 452696371 |================================================================
c . 454644374 |================================================================
RocksDB 8.0
Test: Update Random
Op/s > Higher Is Better
a . 294796 |===================================================================
b . 277428 |===============================================================
c . 292628 |===================================================================
RocksDB 8.0
Test: Read While Writing
Op/s > Higher Is Better
a . 13440214 |=====================================================
b . 11473082 |=============================================
c . 16535579 |=================================================================
RocksDB 8.0
Test: Read Random Write Random
Op/s > Higher Is Better
a . 1926550 |==================================================================
b . 1867319 |================================================================
c . 1884492 |=================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 128
ops/s > Higher Is Better
a . 754.5 |====================================================================
b . 757.2 |====================================================================
c . 745.2 |===================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 256
ops/s > Higher Is Better
a . 748.2 |====================================================================
b . 750.5 |====================================================================
c . 751.5 |====================================================================
CockroachDB 22.2
Workload: MoVR - Concurrency: 512
ops/s > Higher Is Better
a . 745.5 |====================================================================
b . 750.7 |====================================================================
c . 744.0 |===================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 49533.1 |==================================================================
b . 49454.9 |==================================================================
c . 48767.1 |=================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 50683.8 |==================================================================
b . 47146.4 |=============================================================
c . 50241.0 |=================================================================
CockroachDB 22.2
Workload: KV, 10% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 50885.4 |================================================================
b . 52529.5 |==================================================================
c . 46271.6 |==========================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 65133.4 |=================================================================
b . 66115.6 |==================================================================
c . 57115.1 |=========================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 58777.4 |=========================================================
b . 68400.0 |==================================================================
c . 57909.1 |========================================================
CockroachDB 22.2
Workload: KV, 50% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 68395.4 |==================================================================
b . 56432.6 |======================================================
c . 68164.4 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 70322.4 |================================================================
b . 72193.2 |==================================================================
c . 69343.2 |===============================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 72158.1 |=================================================================
b . 63269.0 |=========================================================
c . 73004.2 |==================================================================
CockroachDB 22.2
Workload: KV, 60% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 60903.7 |=======================================================
b . 62154.2 |========================================================
c . 73656.2 |==================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 128
ops/s > Higher Is Better
a . 88685.5 |==================================================================
b . 88959.8 |==================================================================
c . 87476.4 |=================================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 256
ops/s > Higher Is Better
a . 88008.4 |==================================================================
b . 74468.4 |========================================================
c . 73252.3 |=======================================================
CockroachDB 22.2
Workload: KV, 95% Reads - Concurrency: 512
ops/s > Higher Is Better
a . 72445.0 |=====================================================
b . 90237.5 |==================================================================
c . 86788.8 |===============================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, First Run / Cold Cache
Queries Per Minute, Geo Mean > Higher Is Better
a . 269.19 |=============================================
b . 401.11 |===================================================================
c . 398.91 |===================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Second Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 273.45 |============================================
b . 413.04 |===================================================================
c . 403.80 |==================================================================
ClickHouse 22.12.3.5
100M Rows Hits Dataset, Third Run
Queries Per Minute, Geo Mean > Higher Is Better
a . 274.77 |=============================================
b . 404.69 |==================================================================
c . 410.26 |===================================================================
John The Ripper 2023.03.14
Test: bcrypt
Real C/S > Higher Is Better
a . 165909 |==================================================================
b . 168729 |===================================================================
c . 167500 |===================================================================
John The Ripper 2023.03.14
Test: WPA PSK
Real C/S > Higher Is Better
a . 391304 |==================================================================
b . 394864 |===================================================================
c . 394449 |===================================================================
John The Ripper 2023.03.14
Test: Blowfish
Real C/S > Higher Is Better
a . 158999 |===============================================================
b . 169154 |===================================================================
c . 169113 |===================================================================
John The Ripper 2023.03.14
Test: HMAC-SHA512
Real C/S > Higher Is Better
a . 91862000 |=================================================================
b . 80447000 |=========================================================
c . 83472000 |===========================================================
John The Ripper 2023.03.14
Test: MD5
Real C/S > Higher Is Better
a . 10348000 |=================================================================
b . 10330000 |=================================================================
c . 10376000 |=================================================================
nginx 1.23.2
Connections: 100
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 200
Requests Per Second > Higher Is Better
nginx 1.23.2
Connections: 500
Requests Per Second > Higher Is Better
a . 157063.78 |===============================================================
b . 158866.84 |================================================================
c . 158520.97 |================================================================
nginx 1.23.2
Connections: 1000
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 100
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 200
Requests Per Second > Higher Is Better
Apache HTTP Server 2.4.56
Concurrent Requests: 500
Requests Per Second > Higher Is Better
a . 132220.73 |=============================================================
b . 136743.33 |===============================================================
c . 138201.89 |================================================================
Apache HTTP Server 2.4.56
Concurrent Requests: 1000
Requests Per Second > Higher Is Better
OpenSSL 3.1
Algorithm: RSA4096
sign/s > Higher Is Better
a . 27007.5 |==================================================================
b . 27049.8 |==================================================================
c . 26996.1 |==================================================================
DeepRec
Model: BST - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: BST - Data Type: FP32
Throughput > Higher Is Better
DeepRec
Model: DIN - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: DIN - Data Type: FP32
Throughput > Higher Is Better
DeepRec
Model: PLE - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: PLE - Data Type: FP32
Throughput > Higher Is Better
DeepRec
Model: DLRM - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: DLRM - Data Type: FP32
Throughput > Higher Is Better
DeepRec
Model: MMOE - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: MMOE - Data Type: FP32
Throughput > Higher Is Better
DeepRec
Model: DCNv2 - Data Type: BF16
Throughput > Higher Is Better
DeepRec
Model: DCNv2 - Data Type: FP32
Throughput > Higher Is Better
OpenSSL 3.1
Algorithm: RSA4096
verify/s > Higher Is Better
a . 1780535.1 |================================================================
b . 1779979.3 |================================================================
c . 1780224.1 |================================================================
BRL-CAD 7.34
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 3089503 |==================================================================
c . 3047016 |=================================================================
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 4954 |=====================================================================
b . 4942 |=====================================================================
c . 4951 |=====================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 5872 |=====================================================================
b . 5856 |=====================================================================
c . 5876 |=====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 870.12 |===================================================================
b . 869.75 |===================================================================
c . 868.95 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 48.75 |====================================================================
b . 47.99 |===================================================================
c . 48.99 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 68.62 |====================================================================
b . 68.55 |====================================================================
c . 68.58 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 9.0399 |=================================================================
b . 8.8949 |================================================================
c . 9.3134 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 205.64 |===================================================================
b . 205.90 |===================================================================
c . 205.77 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 23.66 |=================================================================
b . 23.63 |=================================================================
c . 24.69 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 155.82 |===================================================================
b . 155.82 |===================================================================
c . 155.34 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 8.9373 |===================================================================
b . 8.9292 |===================================================================
c . 8.9700 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 76.99 |====================================================================
b . 77.11 |====================================================================
c . 77.30 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 6.7151 |===================================================================
b . 6.7380 |===================================================================
c . 6.7480 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 104.84 |===================================================================
b . 104.73 |===================================================================
c . 104.98 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 6.5656 |==================================================================
b . 6.5727 |==================================================================
c . 6.6621 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 586.72 |===================================================================
b . 587.70 |===================================================================
c . 587.22 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 34.56 |====================================================================
b . 34.75 |====================================================================
c . 34.58 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 207.55 |===================================================================
b . 206.88 |===================================================================
c . 207.63 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 17.12 |==================================================================
b . 17.22 |==================================================================
c . 17.63 |====================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 868.78 |===================================================================
b . 868.33 |===================================================================
c . 871.15 |===================================================================
Neural Magic DeepSparse 1.3.2
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 48.04 |===================================================================
b . 48.16 |===================================================================
c . 48.80 |====================================================================
SPECFEM3D 4.0
Model: Mount St. Helens
Seconds < Lower Is Better
a . 6.744564640 |=============================================================
b . 6.630654167 |============================================================
c . 6.834107424 |==============================================================
SPECFEM3D 4.0
Model: Layered Halfspace
Seconds < Lower Is Better
a . 17.29 |====================================================================
b . 16.07 |===============================================================
c . 16.29 |================================================================
SPECFEM3D 4.0
Model: Tomographic Model
Seconds < Lower Is Better
a . 8.348192148 |==============================================================
b . 8.303506049 |==============================================================
c . 8.278936477 |=============================================================
SPECFEM3D 4.0
Model: Homogeneous Halfspace
Seconds < Lower Is Better
a . 10.329585274 |=============================================================
b . 10.107559726 |============================================================
c . 9.966862195 |===========================================================
SPECFEM3D 4.0
Model: Water-layered Halfspace
Seconds < Lower Is Better
a . 17.33 |==================================================================
b . 17.73 |====================================================================
c . 17.86 |====================================================================
Timed FFmpeg Compilation 6.0
Time To Compile
Seconds < Lower Is Better
a . 15.70 |====================================================================
b . 13.66 |===========================================================
c . 13.71 |===========================================================
Timed Godot Game Engine Compilation 4.0
Time To Compile
Seconds < Lower Is Better
a . 102.83 |===================================================================
b . 98.42 |================================================================
c . 98.30 |================================================================
Timed Linux Kernel Compilation 6.1
Build: defconfig
Seconds < Lower Is Better
a . 31.06 |====================================================================
b . 22.63 |==================================================
c . 22.58 |=================================================
Timed Linux Kernel Compilation 6.1
Build: allmodconfig
Seconds < Lower Is Better
a . 285.35 |===================================================================
b . 160.58 |======================================
c . 160.79 |======================================
Timed LLVM Compilation 16.0
Build System: Ninja
Seconds < Lower Is Better
a . 132.97 |===================================================================
b . 113.36 |=========================================================
c . 112.52 |=========================================================
Timed LLVM Compilation 16.0
Build System: Unix Makefiles
Seconds < Lower Is Better
a . 228.85 |===================================================================
b . 210.17 |==============================================================
c . 211.16 |==============================================================
Timed Node.js Compilation 19.8.1
Time To Compile
Seconds < Lower Is Better
a . 132.53 |===================================================================
b . 115.74 |===========================================================
c . 114.59 |==========================================================
Build2 0.15
Time To Compile
Seconds < Lower Is Better
a . 67.56 |====================================================================
b . 63.33 |================================================================
c . 63.67 |================================================================
Opus Codec Encoding 1.4
WAV To Opus Encode
Seconds < Lower Is Better
a . 31.86 |====================================================================
b . 31.90 |====================================================================
c . 32.01 |====================================================================
Blender 3.5
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 14.88 |====================================================================
b . 14.86 |====================================================================
c . 14.62 |===================================================================
Blender 3.5
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 37.20 |====================================================================
b . 37.33 |====================================================================
c . 37.37 |====================================================================
Blender 3.5
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 18.53 |===================================================================
b . 18.74 |====================================================================
c . 18.72 |====================================================================
Blender 3.5
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 136.18 |===================================================================
b . 136.92 |===================================================================
c . 136.80 |===================================================================
Blender 3.5
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 45.39 |===================================================================
b . 46.05 |====================================================================
c . 45.67 |===================================================================