Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
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dggg
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
a:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.5.0-18-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211
OS: Ubuntu 22.04, Kernel: 6.5.0-18-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768
Timed Linux Kernel Compilation 6.8
Build: allmodconfig
Seconds < Lower Is Better
a . 943.62 |===================================================================
b . 944.98 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 18.14 |====================================================================
b . 18.24 |====================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 55.20 |====================================================================
b . 54.77 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 11.69 |====================================================================
b . 11.57 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 85.64 |===================================================================
b . 86.34 |====================================================================
Primesieve 12.1
Length: 1e13
Seconds < Lower Is Better
a . 128.88 |===================================================================
b . 128.88 |===================================================================
Timed Linux Kernel Compilation 6.8
Build: defconfig
Seconds < Lower Is Better
a . 74.36 |===================================================================
b . 75.74 |====================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 3224.12 |==================================================================
b . 3217.01 |==================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 2.6650 |===================================================================
b . 2.6717 |===================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.220 |====================================================================
b . 3.205 |====================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 123.41 |===================================================================
b . 122.65 |===================================================================
Neural Magic DeepSparse 1.7
Model: Llama2 Chat 7b Quantized - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 8.1016 |===================================================================
b . 8.1515 |===================================================================
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 . 6.9366 |=================================================================
b . 7.1081 |===================================================================
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 . 143.99 |===================================================================
b . 140.50 |=================================================================
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 . 19.74 |====================================================================
b . 19.74 |====================================================================
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 . 455.36 |===================================================================
b . 455.46 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 43.18 |====================================================================
b . 42.86 |===================================================================
Neural Magic DeepSparse 1.7
Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 208.28 |==================================================================
b . 209.86 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 489.37 |==================================================================
b . 494.04 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 18.31 |====================================================================
b . 18.07 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 62.96 |====================================================================
b . 62.68 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 15.88 |====================================================================
b . 15.95 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 489.52 |==================================================================
b . 499.66 |===================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 18.33 |====================================================================
b . 17.88 |==================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 63.17 |====================================================================
b . 62.77 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 15.83 |====================================================================
b . 15.93 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 410.68 |===================================================================
b . 396.31 |=================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 21.91 |==================================================================
b . 22.70 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 46.28 |==================================================================
b . 47.36 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 21.60 |====================================================================
b . 21.11 |==================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 11.96 |====================================================================
b . 12.00 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 83.55 |====================================================================
b . 83.23 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 60.30 |====================================================================
b . 60.22 |====================================================================
Neural Magic DeepSparse 1.7
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 149.20 |===================================================================
b . 149.40 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 1.7714 |===================================================================
b . 1.7454 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 561.72 |==================================================================
b . 570.09 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 84.21 |====================================================================
b . 84.30 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 106.84 |===================================================================
b . 106.73 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 7.3180 |===================================================================
b . 7.3353 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 1226.61 |==================================================================
b . 1223.65 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 34.78 |====================================================================
b . 34.92 |====================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 258.60 |===================================================================
b . 257.51 |===================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 7.6112 |===================================================================
b . 7.4680 |==================================================================
Neural Magic DeepSparse 1.7
Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 131.22 |==================================================================
b . 133.69 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
ms/batch < Lower Is Better
a . 35.46 |====================================================================
b . 35.62 |====================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
items/sec > Higher Is Better
a . 253.66 |===================================================================
b . 252.50 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
ms/batch < Lower Is Better
a . 7.5105 |=================================================================
b . 7.7867 |===================================================================
Neural Magic DeepSparse 1.7
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
items/sec > Higher Is Better
a . 132.94 |===================================================================
b . 128.23 |=================================================================
srsRAN Project 23.10.1-20240219
Test: PUSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 1105.4 |===================================================================
srsRAN Project 23.10.1-20240219
Test: PUSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 134.5 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 31.61 |====================================================================
b . 31.69 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 8.553 |====================================================================
b . 8.471 |===================================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Total
Mbps > Higher Is Better
a . 5546.0 |===================================================================
b . 5504.1 |==================================================================
SVT-AV1 2.0
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 51.09 |===================================================================
b . 51.87 |====================================================================
Primesieve 12.1
Length: 1e12
Seconds < Lower Is Better
a . 11.10 |====================================================================
b . 11.09 |====================================================================
srsRAN Project 23.10.1-20240219
Test: PDSCH Processor Benchmark, Throughput Thread
Mbps > Higher Is Better
a . 400.2 |====================================================================
Google Draco 1.5.6
Model: Church Facade
ms < Lower Is Better
a . 8567 |=====================================================================
b . 8594 |=====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 82.01 |===================================================================
b . 82.88 |====================================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 82.84 |====================================================================
b . 82.49 |====================================================================
Google Draco 1.5.6
Model: Lion
ms < Lower Is Better
a . 6059 |=====================================================================
b . 6065 |=====================================================================
Parallel BZIP2 Compression 1.1.13
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
Seconds < Lower Is Better
a . 6.076621 |=================================================================
b . 6.114071 |=================================================================
SVT-AV1 2.0
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 170.02 |===================================================================
b . 168.48 |==================================================================
SVT-AV1 2.0
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 200.02 |===================================================================
b . 195.77 |==================================================================