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
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"
"OpenSSL - Algorithm: SHA256 (byte/s)",HIB,2139384230,2104039050
"OpenSSL - Algorithm: SHA512 (byte/s)",HIB,856037790,813051380
"OpenSSL - Algorithm: ChaCha20 (byte/s)",HIB,15375647270,14830093930
"OpenSSL - Algorithm: AES-128-GCM (byte/s)",HIB,15202890820,15081739060
"OpenSSL - Algorithm: AES-256-GCM (byte/s)",HIB,13364107950,12548378350
"OpenSSL - Algorithm: ChaCha20-Poly1305 (byte/s)",HIB,10536056700,9830306880
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,0.892,0.858
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,7.044,6.765
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,31.313,28.226
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,33.862,31.873
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,3.684,3.605
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,26.035,26.967
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,192.189,192.665
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,254.955,256.084
"Xmrig - Variant: KawPow - Hash Count: 1M (H/s)",HIB,1296.4,1333.9
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,1308.1,1290.3
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,1573.6,1524.2
"Xmrig - Variant: GhostRider - Hash Count: 1M (H/s)",HIB,187.4,185.2
"Xmrig - Variant: CryptoNight-Heavy - Hash Count: 1M (H/s)",HIB,1298.8,1282.1
"Xmrig - Variant: CryptoNight-Femto UPX2 - Hash Count: 1M (H/s)",HIB,1302.3,1281.7
"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: Synchronous Single-Stream (items/sec)",HIB,2.1503,2.0978
"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: Synchronous Single-Stream (items/sec)",HIB,76.3219,75.06
"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 (items/sec)",HIB,33.3394,32.5063
"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: Synchronous Single-Stream (items/sec)",HIB,209.8137,194.4486
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,14.0194,13.5693
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.4521,12.4176
"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: Synchronous Single-Stream (items/sec)",HIB,2.6753,2.6391
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,34.2792,33.342
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,33.2934,32.7537
"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: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (items/sec)",HIB,12.85,12.7015
"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: Synchronous Single-Stream (items/sec)",HIB,18.221,18.035
"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: 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, 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 (items/sec)",HIB,33.7574,33.4371
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,2.153,2.142
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,2.1502,2.1345
"Java SciMark - Computational Test: Composite (Mflops)",HIB,2605.95,2611.98
"Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,935.32,936.54
"Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,518.57,516.53
"Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,1999.02,1994.16
"Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,8173.69,8211.45
"Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,1403.14,1401.22
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,2.60,2.45
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.03,0.03
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.01,0.01
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,0.95,0.95
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,,
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,32,45
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,20,24
"ScyllaDB - Test: Writes (Op/s)",HIB,27851,25475
"OpenSSL - Algorithm: RSA4096 (sign/s)",HIB,769,727.2
"OpenSSL - Algorithm: RSA4096 (verify/s)",HIB,45019.3,43229
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,946.7894,1010.4402
"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 Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,23.5728,23.9439
"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: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,58.7695,60.4086
"Neural Magic DeepSparse - Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream (ms/batch)",LIB,29.9776,30.7461
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,8.5472,8.7547
"Neural Magic DeepSparse - Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,4.753,5.1288
"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: Synchronous Single-Stream (ms/batch)",LIB,80.287,80.5097
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,737.6542,752.2363
"Neural Magic DeepSparse - Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream (ms/batch)",LIB,373.7685,378.906
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,58.3036,59.9277
"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 Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,141.2265,143.4885
"Neural Magic DeepSparse - Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,77.8061,78.7156
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,103.1697,103.4981
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,54.8668,55.433
"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: Synchronous Single-Stream (ms/batch)",LIB,229.5918,234.5362
"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: Synchronous Single-Stream (ms/batch)",LIB,29.6028,29.8871
"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: Synchronous Single-Stream (ms/batch)",LIB,465.0523,468.4816
"Apache Spark TPC-H - Scale Factor: 1 - Geometric Mean Of All Queries (sec)",LIB,4.7325257,4.8087436
"Apache Spark TPC-H - Scale Factor: 1 - Q01 (sec)",LIB,7.15123463,7.08784056
"Apache Spark TPC-H - Scale Factor: 1 - Q02 (sec)",LIB,3.8889091,3.41797328
"Apache Spark TPC-H - Scale Factor: 1 - Q03 (sec)",LIB,6.39238787,7.07467794
"Apache Spark TPC-H - Scale Factor: 1 - Q04 (sec)",LIB,6.71648932,7.085783
"Apache Spark TPC-H - Scale Factor: 1 - Q05 (sec)",LIB,6.3854022,7.11330652
"Apache Spark TPC-H - Scale Factor: 1 - Q06 (sec)",LIB,3.51144052,3.2446425
"Apache Spark TPC-H - Scale Factor: 1 - Q07 (sec)",LIB,6.48225832,5.84497738
"Apache Spark TPC-H - Scale Factor: 1 - Q08 (sec)",LIB,4.97744513,5.44389009
"Apache Spark TPC-H - Scale Factor: 1 - Q09 (sec)",LIB,7.87298393,8.6917963
"Apache Spark TPC-H - Scale Factor: 1 - Q10 (sec)",LIB,5.49699688,5.96171904
"Apache Spark TPC-H - Scale Factor: 1 - Q11 (sec)",LIB,1.93730366,2.02040172
"Apache Spark TPC-H - Scale Factor: 1 - Q12 (sec)",LIB,5.02531958,4.83623695
"Apache Spark TPC-H - Scale Factor: 1 - Q13 (sec)",LIB,3.23068547,2.9968822
"Apache Spark TPC-H - Scale Factor: 1 - Q14 (sec)",LIB,3.69340801,3.97235441
"Apache Spark TPC-H - Scale Factor: 1 - Q15 (sec)",LIB,3.9105525,3.84038305
"Apache Spark TPC-H - Scale Factor: 1 - Q16 (sec)",LIB,1.72381175,2.04605532
"Apache Spark TPC-H - Scale Factor: 1 - Q17 (sec)",LIB,8.40441418,8.57745552
"Apache Spark TPC-H - Scale Factor: 1 - Q18 (sec)",LIB,10.34319305,10.19796848
"Apache Spark TPC-H - Scale Factor: 1 - Q19 (sec)",LIB,4.04202414,3.57351255
"Apache Spark TPC-H - Scale Factor: 1 - Q20 (sec)",LIB,4.86529493,5.14292622
"Apache Spark TPC-H - Scale Factor: 1 - Q21 (sec)",LIB,20.6189518,20.03598785
"Apache Spark TPC-H - Scale Factor: 1 - Q22 (sec)",LIB,2.24996281,2.04710698
"Apache Spark TPC-H - Scale Factor: 10 - Geometric Mean Of All Queries (sec)",LIB,41.82015849,41.34495884
"Apache Spark TPC-H - Scale Factor: 10 - Q01 (sec)",LIB,41.60556793,44.68072128
"Apache Spark TPC-H - Scale Factor: 10 - Q02 (sec)",LIB,12.79198933,12.18801308
"Apache Spark TPC-H - Scale Factor: 10 - Q03 (sec)",LIB,55.9370575,55.57704926
"Apache Spark TPC-H - Scale Factor: 10 - Q04 (sec)",LIB,48.47943115,48.52398682
"Apache Spark TPC-H - Scale Factor: 10 - Q05 (sec)",LIB,62.50230026,66.50273895
"Apache Spark TPC-H - Scale Factor: 10 - Q06 (sec)",LIB,36.56314087,37.05972672
"Apache Spark TPC-H - Scale Factor: 10 - Q07 (sec)",LIB,54.82960892,55.61378479
"Apache Spark TPC-H - Scale Factor: 10 - Q08 (sec)",LIB,62.18651581,60.07417679
"Apache Spark TPC-H - Scale Factor: 10 - Q09 (sec)",LIB,73.75761414,73.32006836
"Apache Spark TPC-H - Scale Factor: 10 - Q10 (sec)",LIB,51.23233795,51.31714249
"Apache Spark TPC-H - Scale Factor: 10 - Q11 (sec)",LIB,10.59748077,10.96131992
"Apache Spark TPC-H - Scale Factor: 10 - Q12 (sec)",LIB,48.54096985,47.39456177
"Apache Spark TPC-H - Scale Factor: 10 - Q13 (sec)",LIB,20.4395504,21.21042061
"Apache Spark TPC-H - Scale Factor: 10 - Q14 (sec)",LIB,38.59869003,38.96424103
"Apache Spark TPC-H - Scale Factor: 10 - Q15 (sec)",LIB,37.02564621,35.7738266
"Apache Spark TPC-H - Scale Factor: 10 - Q16 (sec)",LIB,11.40860558,11.61297989
"Apache Spark TPC-H - Scale Factor: 10 - Q17 (sec)",LIB,100.78012848,94.20128632
"Apache Spark TPC-H - Scale Factor: 10 - Q18 (sec)",LIB,106.44145203,103.68283844
"Apache Spark TPC-H - Scale Factor: 10 - Q19 (sec)",LIB,39.19455719,38.3745575
"Apache Spark TPC-H - Scale Factor: 10 - Q20 (sec)",LIB,49.48738861,47.05195236
"Apache Spark TPC-H - Scale Factor: 10 - Q21 (sec)",LIB,196.26261902,189.4044342
"Apache Spark TPC-H - Scale Factor: 10 - Q22 (sec)",LIB,12.72342587,13.09406471