2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 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 2403172-NE-XEONEMR4990
xeon emr
2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
c:
Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
d:
Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 23.10, Kernel: 6.6.0-rc5-phx-patched (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 4060 |====================================================================
b . 4041 |====================================================================
c . 4092 |=====================================================================
d . 4059 |====================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 4837 |=====================================================================
b . 4793 |====================================================================
c . 4765 |====================================================================
d . 4820 |=====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 137.95 |===================================================================
b . 137.28 |===================================================================
c . 136.56 |==================================================================
d . 137.82 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 461.38 |==================================================================
b . 462.52 |===================================================================
c . 465.46 |===================================================================
d . 460.91 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 34.06 |====================================================================
b . 34.12 |====================================================================
c . 33.99 |====================================================================
d . 33.89 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.35 |====================================================================
b . 29.29 |====================================================================
c . 29.41 |====================================================================
d . 29.50 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 4590.23 |==================================================================
b . 4598.88 |==================================================================
c . 4605.99 |==================================================================
d . 4589.15 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 13.92 |====================================================================
b . 13.89 |====================================================================
c . 13.87 |====================================================================
d . 13.92 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 304.76 |===================================================================
b . 304.80 |===================================================================
c . 304.90 |===================================================================
d . 303.84 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 3.2778 |===================================================================
b . 3.2774 |===================================================================
c . 3.2761 |===================================================================
d . 3.2877 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1789.70 |==================================================================
b . 1792.69 |==================================================================
c . 1781.89 |==================================================================
d . 1789.81 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 35.72 |====================================================================
b . 35.67 |====================================================================
c . 35.87 |====================================================================
d . 35.71 |====================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 342.28 |===================================================================
b . 342.90 |===================================================================
c . 341.44 |===================================================================
d . 343.53 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 2.9188 |===================================================================
b . 2.9135 |===================================================================
c . 2.9257 |===================================================================
d . 2.9080 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 11719.01 |=================================================================
b . 11722.59 |=================================================================
c . 11702.18 |=================================================================
d . 11674.25 |=================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 5.4463 |===================================================================
b . 5.4445 |===================================================================
c . 5.4544 |===================================================================
d . 5.4675 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 1060.95 |=================================================================
b . 1079.57 |==================================================================
c . 1065.97 |=================================================================
d . 1055.18 |=================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 0.9394 |===================================================================
b . 0.9232 |=================================================================
c . 0.9356 |==================================================================
d . 0.9449 |===================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 3.1028 |=================================================================
b . 2.9676 |==============================================================
c . 2.9506 |==============================================================
d . 3.2137 |===================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 16509.14 |==============================================================
b . 17153.23 |=================================================================
c . 17224.36 |=================================================================
d . 16021.35 |============================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 14.50 |====================================================================
b . 14.29 |===================================================================
c . 14.34 |===================================================================
d . 14.28 |===================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 68.89 |===================================================================
b . 69.88 |====================================================================
c . 69.64 |====================================================================
d . 69.95 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1800.71 |==================================================================
b . 1788.80 |=================================================================
c . 1803.23 |==================================================================
d . 1794.85 |==================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 35.50 |====================================================================
b . 35.73 |====================================================================
c . 35.45 |===================================================================
d . 35.61 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 343.46 |===================================================================
b . 342.21 |===================================================================
c . 342.44 |===================================================================
d . 344.05 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 2.9085 |===================================================================
b . 2.9192 |===================================================================
c . 2.9173 |===================================================================
d . 2.9035 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 864.35 |===================================================================
b . 863.67 |===================================================================
c . 863.85 |===================================================================
d . 863.93 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 73.97 |====================================================================
b . 74.00 |====================================================================
c . 74.04 |====================================================================
d . 74.03 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 197.61 |===================================================================
b . 195.87 |==================================================================
c . 195.83 |==================================================================
d . 197.01 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 5.0580 |==================================================================
b . 5.1030 |===================================================================
c . 5.1037 |===================================================================
d . 5.0734 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1238.06 |==================================================================
b . 1241.55 |==================================================================
c . 1233.71 |==================================================================
d . 1236.95 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 51.66 |====================================================================
b . 51.51 |====================================================================
c . 51.84 |====================================================================
d . 51.71 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 199.07 |===================================================================
b . 198.34 |==================================================================
c . 200.28 |===================================================================
d . 198.38 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 5.0199 |===================================================================
b . 5.0378 |===================================================================
c . 4.9896 |==================================================================
d . 5.0371 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 181.79 |===================================================================
b . 182.11 |===================================================================
c . 182.81 |===================================================================
d . 182.55 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 351.87 |===================================================================
b . 350.38 |===================================================================
c . 349.80 |===================================================================
d . 350.44 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 35.83 |====================================================================
b . 35.85 |====================================================================
c . 35.19 |===================================================================
d . 35.77 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 27.88 |===================================================================
b . 27.87 |===================================================================
c . 28.39 |====================================================================
d . 27.93 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1904.08 |==================================================================
b . 1902.91 |==================================================================
c . 1902.18 |==================================================================
d . 1902.93 |==================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 33.57 |====================================================================
b . 33.59 |====================================================================
c . 33.59 |====================================================================
d . 33.60 |====================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 100.21 |===================================================================
b . 99.71 |==================================================================
c . 100.95 |===================================================================
d . 98.75 |==================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 9.9739 |=================================================================
b . 10.0233 |=================================================================
c . 9.8997 |=================================================================
d . 10.1216 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 138.31 |===================================================================
b . 137.79 |===================================================================
c . 137.97 |===================================================================
d . 137.97 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 460.73 |===================================================================
b . 461.22 |===================================================================
c . 461.99 |===================================================================
d . 462.03 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 34.18 |====================================================================
b . 34.23 |====================================================================
c . 34.15 |====================================================================
d . 34.20 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 29.25 |====================================================================
b . 29.21 |====================================================================
c . 29.28 |====================================================================
d . 29.24 |====================================================================
Primesieve 12.1
Length: 1e12
Seconds < Lower Is Better
a . 2.213 |====================================================================
b . 2.163 |==================================================================
c . 2.159 |==================================================================
d . 2.163 |==================================================================
Primesieve 12.1
Length: 1e13
Seconds < Lower Is Better
a . 25.03 |====================================================================
b . 24.98 |====================================================================
c . 25.08 |====================================================================
d . 24.93 |====================================================================
Stockfish 16.1
Chess Benchmark
Nodes Per Second > Higher Is Better
a . 212133268 |=============================================================
b . 207635904 |============================================================
c . 221316167 |================================================================
d . 214224198 |==============================================================
Parallel BZIP2 Compression 1.1.13
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
Seconds < Lower Is Better
a . 1.249184 |=================================================================
b . 1.235156 |================================================================
c . 1.235287 |================================================================
d . 1.252094 |=================================================================
Timed Linux Kernel Compilation 6.8
Build: defconfig
Seconds < Lower Is Better
a . 26.07 |===================================================================
b . 26.36 |====================================================================
c . 26.04 |===================================================================
d . 26.13 |===================================================================
Timed Linux Kernel Compilation 6.8
Build: allmodconfig
Seconds < Lower Is Better
a . 181.56 |==================================================================
b . 183.15 |===================================================================
c . 182.43 |===================================================================
d . 181.28 |==================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 7.750 |====================================================================
b . 7.531 |==================================================================
c . 7.541 |==================================================================
d . 7.586 |===================================================================
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 72.86 |===================================================================
b . 73.71 |====================================================================
c . 72.83 |===================================================================
d . 71.51 |==================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 172.72 |===================================================================
b . 168.30 |=================================================================
c . 169.91 |==================================================================
d . 169.39 |==================================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 168.80 |===================================================================
b . 167.05 |==================================================================
c . 168.20 |===================================================================
d . 168.29 |===================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 22.03 |===================================================================
b . 22.16 |===================================================================
c . 22.39 |====================================================================
d . 22.24 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 152.48 |==================================================================
b . 152.79 |==================================================================
c . 153.10 |==================================================================
d . 154.50 |===================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 457.74 |===================================================================
b . 439.12 |================================================================
c . 441.42 |=================================================================
d . 442.34 |=================================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 643.53 |===================================================================
b . 640.89 |===================================================================
c . 620.87 |=================================================================
d . 627.59 |=================================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 46252.5 |==========================================================
a . 43297.4 |=======================================================
b . 50572.1 |================================================================
c . 52220.4 |==================================================================
d . 49150.3 |==============================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 755.6 |====================================================================
b . 728.7 |==================================================================
c . 755.3 |====================================================================
d . 756.0 |====================================================================