fhos

Tests for a future article. Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.

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December 17 2023
  4 Hours, 28 Minutes
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December 17 2023
  4 Hours, 23 Minutes
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December 18 2023
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fhos Tests for a future article. Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite. ,,"s","b","c" Processor,,Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Motherboard,,Dell 0GG9PT (3.15.0 BIOS),Dell 0GG9PT (3.15.0 BIOS),Dell 0GG9PT (3.15.0 BIOS) Chipset,,Intel Tiger Lake-LP,Intel Tiger Lake-LP,Intel Tiger Lake-LP Memory,,16GB,16GB,16GB Disk,,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB Graphics,,Intel Xe TGL GT2 15GB (1300MHz),Intel Xe TGL GT2 15GB (1300MHz),Intel Xe TGL GT2 15GB (1300MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-10-generic (x86_64),6.5.0-10-generic (x86_64),6.5.0-10-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 23.2.1-1ubuntu3,4.6 Mesa 23.2.1-1ubuntu3,4.6 Mesa 23.2.1-1ubuntu3 OpenCL,,OpenCL 3.0,OpenCL 3.0,OpenCL 3.0 Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"s","b","c" "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,,, "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,417.4,442.7,434.2 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.02,0.02,0.02 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.04,0.04,0.04 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,1961.9,1970,1967.6 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,1967.3,1976.1,1980.6 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,1966.1,1986.6,1977.2 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,1960.5,1989,1996.1 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,2642.2,2684,2670.1 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,67,66,78 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,52,52,56 "OpenSSL - Algorithm: AES-256-GCM ()",HIB,,, "OpenSSL - Algorithm: ChaCha20-Poly1305 ()",HIB,,, "OpenSSL - Algorithm: AES-128-GCM ()",HIB,,, "OpenSSL - Algorithm: ChaCha20 ()",HIB,,, "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,1091931650,1094541280, "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,2903712830,2893925250, "ScyllaDB - Test: Writes (Op/s)",HIB,40254,40498, "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,1.427,1.411, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,438.9908,418.1176, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.5305,4.7828, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,247.7678,247.5623, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.0358,4.0391, "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,65538.3,56122.7, "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,2415.5,2166.4, "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,10.98,11.078, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,16.5804,14.3113, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,120.3943,139.4904, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,38.1045,33.8677, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,52.4364,58.9868, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,18.2556,22.4656, "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,54.7315,44.4759, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,529.8572,574.3839, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3.7744,3.4805, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,8.3642,9.8981, "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,119.3973,100.902, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,612.2666,542.1466, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,3.2662,3.6826, "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,315.7853,315.7599, "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,6.3326,6.3331, "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,155.4141,153.0074, "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,6.4333,6.5345, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,307.5585,307.5209, "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,3.2513,3.2516, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,307.1436,303.9422, "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,3.2556,3.2899, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,71.9259,62.7006, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,27.7914,31.8785, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,31.5435,36.6984, "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,31.6931,27.2419, "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,38.6176,36.4247, "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,51.7471,54.8662, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,38.9918,35.1776, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,51.2559,56.8039, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,94.1082,92.1741, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,21.243,21.6894, "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,6.7235,6.8051, "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,296.3319,292.849, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,87.4765,94.7094, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,22.8569,21.1113, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,52.4133,52.4007, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,19.0711,19.0761, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,19.724,19.9761, "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,50.6692,50.0293, "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,20.2152,18.5721, "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,49.4378,53.8103, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,51.904,48.7897, "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,19.2612,20.4901, "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,3.4944,3.6618, "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,285.2713,272.2351, "Java SciMark - Computational Test: Composite (Mflops)",HIB,2757.18,3083.83,3169.7 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,5.897,6.21, "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,1.33,1.51,1.53 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,42.845,42.502, "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,45.921,45.907, "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,41.905,43.503, "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,3.52,3.55,3.54 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,216.672,220.538, "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,286.551,290.872, "Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,1711.34,1707.52,1710.86 "Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,8623.01,10120.18,10571.52 "Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,1780.87,1935.73,1893.67 "Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,520.78,518.57,521.89 "Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,1149.92,1137.14,1150.54