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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2312185-SYST-FHOS22301
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December 17 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: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Java SciMark 2.2 Computational Test: Composite Mflops > Higher Is Better s . 2757.18 |========================================================= b . 3083.83 |================================================================ c . 3169.70 |================================================================== Java SciMark 2.2 Computational Test: Monte Carlo Mflops > Higher Is Better s . 1149.92 |================================================================== b . 1137.14 |================================================================= c . 1150.54 |================================================================== Java SciMark 2.2 Computational Test: Fast Fourier Transform Mflops > Higher Is Better s . 520.78 |=================================================================== b . 518.57 |=================================================================== c . 521.89 |=================================================================== Java SciMark 2.2 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better s . 1780.87 |============================================================= b . 1935.73 |================================================================== c . 1893.67 |================================================================= Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better s . 8623.01 |===================================================== b . 10120.18 |============================================================== c . 10571.52 |================================================================= Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better s . 1711.34 |================================================================== b . 1707.52 |================================================================== c . 1710.86 |================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better s . 3.52 |==================================================================== b . 3.55 |===================================================================== c . 3.54 |===================================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better s . 1091931650 |=============================================================== b . 1094541280 |=============================================================== OpenSSL Algorithm: RSA4096 verify/s > Higher Is Better s . 65538.3 |================================================================== b . 56122.7 |========================================================= WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M H/s > Higher Is Better s . 1967.3 |=================================================================== b . 1976.1 |=================================================================== c . 1980.6 |=================================================================== Xmrig 6.21 Variant: Monero - Hash Count: 1M H/s > Higher Is Better s . 1960.5 |================================================================== b . 1989.0 |=================================================================== c . 1996.1 |=================================================================== Xmrig 6.21 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better s . 2642.2 |================================================================== b . 2684.0 |=================================================================== c . 2670.1 |=================================================================== Xmrig 6.21 Variant: GhostRider - Hash Count: 1M H/s > Higher Is Better s . 417.4 |================================================================ b . 442.7 |==================================================================== c . 434.2 |=================================================================== Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M H/s > Higher Is Better s . 1966.1 |================================================================== b . 1986.6 |=================================================================== c . 1977.2 |=================================================================== OpenSSL Algorithm: ChaCha20-Poly1305 OpenSSL Algorithm: AES-128-GCM Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M H/s > Higher Is Better s . 1961.9 |=================================================================== b . 1970.0 |=================================================================== c . 1967.6 |=================================================================== LeelaChessZero 0.30 Backend: Eigen Nodes Per Second > Higher Is Better s . 52 |================================================================== b . 52 |================================================================== c . 56 |======================================================================= Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 3.7744 |=================================================================== b . 3.4805 |============================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 529.86 |============================================================== b . 574.38 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 3.2513 |=================================================================== b . 3.2516 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 307.56 |=================================================================== b . 307.52 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 120.39 |========================================================== b . 139.49 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 16.58 |==================================================================== b . 14.31 |=========================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 119.40 |=================================================================== b . 100.90 |========================================================= OpenSSL Algorithm: SHA256 byte/s > Higher Is Better s . 2903712830 |=============================================================== b . 2893925250 |=============================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better s . 0.04 |===================================================================== b . 0.04 |===================================================================== c . 0.04 |===================================================================== OpenSSL Algorithm: RSA4096 sign/s > Higher Is Better s . 2415.5 |=================================================================== b . 2166.4 |============================================================ WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better s . 0.02 |===================================================================== b . 0.02 |===================================================================== c . 0.02 |===================================================================== OpenSSL Algorithm: ChaCha20 WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better s . 1.33 |============================================================ b . 1.51 |==================================================================== c . 1.53 |===================================================================== OpenSSL Algorithm: AES-256-GCM LeelaChessZero 0.30 Backend: BLAS Nodes Per Second > Higher Is Better s . 67 |============================================================= b . 66 |============================================================ c . 78 |======================================================================= Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 8.3642 |========================================================= b . 9.8981 |=================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 51.75 |================================================================ b . 54.87 |==================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 38.62 |==================================================================== b . 36.42 |================================================================ Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 49.44 |============================================================== b . 53.81 |==================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 20.22 |==================================================================== b . 18.57 |============================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 296.33 |=================================================================== b . 292.85 |================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 6.7235 |================================================================== b . 6.8051 |=================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 285.27 |=================================================================== b . 272.24 |================================================================ Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 3.4944 |================================================================ b . 3.6618 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 21.24 |=================================================================== b . 21.69 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 94.11 |==================================================================== b . 92.17 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 19.07 |==================================================================== b . 19.08 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 52.41 |==================================================================== b . 52.40 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 4.5305 |=============================================================== b . 4.7828 |=================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 438.99 |=================================================================== b . 418.12 |================================================================ Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 4.0358 |=================================================================== b . 4.0391 |=================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 247.77 |=================================================================== b . 247.56 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 51.26 |============================================================= b . 56.80 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 38.99 |==================================================================== b . 35.18 |============================================================= Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 50.67 |==================================================================== b . 50.03 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 19.72 |=================================================================== b . 19.98 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 22.86 |==================================================================== b . 21.11 |=============================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 87.48 |=============================================================== b . 94.71 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 19.26 |================================================================ b . 20.49 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 51.90 |==================================================================== b . 48.79 |================================================================ Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 27.79 |=========================================================== b . 31.88 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 71.93 |==================================================================== b . 62.70 |=========================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 31.69 |==================================================================== b . 27.24 |========================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 31.54 |========================================================== b . 36.70 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 6.3326 |=================================================================== b . 6.3331 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 315.79 |=================================================================== b . 315.76 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 6.4333 |================================================================== b . 6.5345 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 155.41 |=================================================================== b . 153.01 |================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 52.44 |============================================================ b . 58.99 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 38.10 |==================================================================== b . 33.87 |============================================================ Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 54.73 |==================================================================== b . 44.48 |======================================================= Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 18.26 |======================================================= b . 22.47 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better s . 3.2662 |=========================================================== b . 3.6826 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better s . 612.27 |=================================================================== b . 542.15 |=========================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better s . 3.2556 |================================================================== b . 3.2899 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better s . 307.14 |=================================================================== b . 303.94 |================================================================== SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 1.427 |==================================================================== b . 1.411 |=================================================================== SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 10.98 |=================================================================== b . 11.08 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 42.85 |==================================================================== b . 42.50 |=================================================================== SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better s . 45.92 |==================================================================== b . 45.91 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 5.897 |================================================================= b . 6.210 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 41.91 |================================================================== b . 43.50 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 216.67 |================================================================== b . 220.54 |=================================================================== SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better s . 286.55 |================================================================== b . 290.87 |=================================================================== ScyllaDB 5.2.9 Test: Writes Op/s > Higher Is Better s . 40254 |==================================================================== b . 40498 |====================================================================