dfgg

Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 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 2312172-NE-DFGG9428382
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CPU Massive 3 Tests
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December 16 2023
  14 Hours, 49 Minutes
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December 17 2023
  14 Hours, 49 Minutes
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dfgg Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 via the Phoronix Test Suite. ,,"a","b" Processor,,Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads) Motherboard,,Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS) Chipset,,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM Memory,,16GB,16GB Disk,,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB Graphics,,Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz) Audio,,Realtek ALC289,Realtek ALC289 Network,,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi OS,,Ubuntu 23.04,Ubuntu 23.04 Kernel,,6.2.0-36-generic (x86_64),6.2.0-36-generic (x86_64) Desktop,,GNOME Shell 44.3,GNOME Shell 44.3 Display Server,,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 23.0.4-0ubuntu1~23.04.1,4.6 Mesa 23.0.4-0ubuntu1~23.04.1 OpenCL,,OpenCL 3.0,OpenCL 3.0 Compiler,,GCC 12.3.0,GCC 12.3.0 File-System,,ext4,ext4 Screen Resolution,,1920x1200,1920x1200 ,,"a","b" "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,32,45 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,20,24 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,31.313,28.226 "ScyllaDB - Test: Writes (Op/s)",HIB,27851,25475 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,4.753,5.1288 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,209.8137,194.4486 "OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,10536056700,9830306880 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.1073,1.9736 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,946.7894,1010.4402 "OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,13364107950,12548378350 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,33.862,31.873 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,2.60,2.45 "OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,769,727.2 "OpenSSL - Algorithm: SHA512 (byte/s)",HIB,856037790,813051380 "OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,45019.3,43229 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,7.044,6.765 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,0.892,0.858 "OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,15375647270,14830093930 "SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,26.035,26.967 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,142.617,147.3519 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,14.0194,13.5693 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,1573.6,1524.2 "Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,1296.4,1333.9 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.2792,33.342 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,58.7695,60.4086 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,58.3036,59.9277 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.0015,33.0835 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.9776,30.7461 "Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.3394,32.5063 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,465.0267,476.6726 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.1503,2.0978 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,233.268,227.7259 "Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,8.5472,8.7547 "SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,3.684,3.605 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (ms/batch)",LIB,229.5918,234.5362 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream (items/sec)",HIB,4.355,4.2633 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.7047,2.6521 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,737.6542,752.2363 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,14.1581,13.9054 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,13.0888,13.309 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,76.3219,75.06 "OpenSSL - Algorithm: SHA256 (byte/s)",HIB,2139384230,2104039050 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,30.0189,30.5143 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.2934,32.7537 "Apache Spark TPC-H - Scale Factor: 1 - Geometric Mean Of All Queries (sec)",LIB,4.7325257,4.8087436 "Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,1302.3,1281.7 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,141.2265,143.4885 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,84.7081,83.382 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,23.5728,23.9439 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,1308.1,1290.3 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,373.7685,378.906 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.6753,2.6391 "Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,1298.8,1282.1 "Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,187.4,185.2 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.85,12.7015 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,77.8061,78.7156 "Apache Spark TPC-H - Scale Factor: 10 - Geometric Mean Of All Queries (sec)",LIB,41.82015849,41.34495884 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,54.8668,55.433 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,18.221,18.035 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,475.1575,480.0465 "Neural Magic DeepSparse - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,4.2078,4.1657 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,53.5162,54.0352 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,37.339,36.9819 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.6028,29.8871 "Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.7574,33.4371 "OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,15202890820,15081739060 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,465.0523,468.4816 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.1502,2.1345 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,926.2229,931.3366 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.153,2.142 "Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,8173.69,8211.45 "SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,254.955,256.084 "Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,518.57,516.53 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,19.3773,19.3021 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,103.1697,103.4981 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.4521,12.4176 "Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,80.287,80.5097 "SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,192.189,192.665 "Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,1999.02,1994.16 "Java SciMark - Computational Test: Composite (Mflops)",HIB,2605.95,2611.98 "Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,1403.14,1401.22 "Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,935.32,936.54 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,0.95,0.95 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.01,0.01 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.03,0.03 "Apache Spark TPC-H - Scale Factor: 10 - Q22 (sec)",LIB,12.72342587,13.09406471 "Apache Spark TPC-H - Scale Factor: 10 - Q21 (sec)",LIB,196.26261902,189.4044342 "Apache Spark TPC-H - Scale Factor: 10 - Q20 (sec)",LIB,49.48738861,47.05195236 "Apache Spark TPC-H - Scale Factor: 10 - Q19 (sec)",LIB,39.19455719,38.3745575 "Apache Spark TPC-H - Scale Factor: 10 - Q18 (sec)",LIB,106.44145203,103.68283844 "Apache Spark TPC-H - Scale Factor: 10 - Q17 (sec)",LIB,100.78012848,94.20128632 "Apache Spark TPC-H - Scale Factor: 10 - Q16 (sec)",LIB,11.40860558,11.61297989 "Apache Spark TPC-H - Scale Factor: 10 - Q15 (sec)",LIB,37.02564621,35.7738266 "Apache Spark TPC-H - Scale Factor: 10 - Q14 (sec)",LIB,38.59869003,38.96424103 "Apache Spark TPC-H - Scale Factor: 10 - Q13 (sec)",LIB,20.4395504,21.21042061 "Apache Spark TPC-H - Scale Factor: 10 - Q12 (sec)",LIB,48.54096985,47.39456177 "Apache Spark TPC-H - Scale Factor: 10 - Q11 (sec)",LIB,10.59748077,10.96131992 "Apache Spark TPC-H - Scale Factor: 10 - Q10 (sec)",LIB,51.23233795,51.31714249 "Apache Spark TPC-H - Scale Factor: 10 - Q09 (sec)",LIB,73.75761414,73.32006836 "Apache Spark TPC-H - Scale Factor: 10 - Q08 (sec)",LIB,62.18651581,60.07417679 "Apache Spark TPC-H - Scale Factor: 10 - Q07 (sec)",LIB,54.82960892,55.61378479 "Apache Spark TPC-H - Scale Factor: 10 - Q06 (sec)",LIB,36.56314087,37.05972672 "Apache Spark TPC-H - Scale Factor: 10 - Q05 (sec)",LIB,62.50230026,66.50273895 "Apache Spark TPC-H - Scale Factor: 10 - Q04 (sec)",LIB,48.47943115,48.52398682 "Apache Spark TPC-H - Scale Factor: 10 - Q03 (sec)",LIB,55.9370575,55.57704926 "Apache Spark TPC-H - Scale Factor: 10 - Q02 (sec)",LIB,12.79198933,12.18801308 "Apache Spark TPC-H - Scale Factor: 10 - Q01 (sec)",LIB,41.60556793,44.68072128 "Apache Spark TPC-H - Scale Factor: 1 - Q22 (sec)",LIB,2.24996281,2.04710698 "Apache Spark TPC-H - Scale Factor: 1 - Q21 (sec)",LIB,20.6189518,20.03598785 "Apache Spark TPC-H - Scale Factor: 1 - Q20 (sec)",LIB,4.86529493,5.14292622 "Apache Spark TPC-H - Scale Factor: 1 - Q19 (sec)",LIB,4.04202414,3.57351255 "Apache Spark TPC-H - Scale Factor: 1 - Q18 (sec)",LIB,10.34319305,10.19796848 "Apache Spark TPC-H - Scale Factor: 1 - Q17 (sec)",LIB,8.40441418,8.57745552 "Apache Spark TPC-H - Scale Factor: 1 - Q16 (sec)",LIB,1.72381175,2.04605532 "Apache Spark TPC-H - Scale Factor: 1 - Q15 (sec)",LIB,3.9105525,3.84038305 "Apache Spark TPC-H - Scale Factor: 1 - Q14 (sec)",LIB,3.69340801,3.97235441 "Apache Spark TPC-H - Scale Factor: 1 - Q13 (sec)",LIB,3.23068547,2.9968822 "Apache Spark TPC-H - Scale Factor: 1 - Q12 (sec)",LIB,5.02531958,4.83623695 "Apache Spark TPC-H - Scale Factor: 1 - Q11 (sec)",LIB,1.93730366,2.02040172 "Apache Spark TPC-H - Scale Factor: 1 - Q10 (sec)",LIB,5.49699688,5.96171904 "Apache Spark TPC-H - Scale Factor: 1 - Q09 (sec)",LIB,7.87298393,8.6917963 "Apache Spark TPC-H - Scale Factor: 1 - Q08 (sec)",LIB,4.97744513,5.44389009 "Apache Spark TPC-H - Scale Factor: 1 - Q07 (sec)",LIB,6.48225832,5.84497738 "Apache Spark TPC-H - Scale Factor: 1 - Q06 (sec)",LIB,3.51144052,3.2446425 "Apache Spark TPC-H - Scale Factor: 1 - Q05 (sec)",LIB,6.3854022,7.11330652 "Apache Spark TPC-H - Scale Factor: 1 - Q04 (sec)",LIB,6.71648932,7.085783 "Apache Spark TPC-H - Scale Factor: 1 - Q03 (sec)",LIB,6.39238787,7.07467794 "Apache Spark TPC-H - Scale Factor: 1 - Q02 (sec)",LIB,3.8889091,3.41797328 "Apache Spark TPC-H - Scale Factor: 1 - Q01 (sec)",LIB,7.15123463,7.08784056 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,,