tgls

Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 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 2311135-PTS-TGLS547809
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
C++ Boost Tests 3 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 11 Tests
Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 7 Tests
Java Tests 3 Tests
Machine Learning 4 Tests
Multi-Core 15 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 3 Tests
Programmer / Developer System Benchmarks 4 Tests
Python Tests 5 Tests
Scientific Computing 2 Tests
Server CPU Tests 6 Tests
Video Encoding 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
November 12 2023
  8 Hours, 30 Minutes
b
November 12 2023
  21 Hours, 56 Minutes
c
November 13 2023
  21 Hours, 46 Minutes
Invert Hiding All Results Option
  17 Hours, 24 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

tgls Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 22.04, Kernel: 6.2.0-36-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, OpenCL: OpenCL 3.0, Vulkan: 1.3.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 0.92 |=== b . 21.67 |==================================================================== c . 15.59 |================================================= NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.48 |==== b . 66.64 |==================================================================== c . 54.85 |======================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 7.44 |==== b . 119.06 |======================================================== c . 141.51 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 6.81 |==== b . 122.08 |================================================================= c . 124.98 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 5.61 |==== b . 86.30 |============================================================ c . 97.95 |==================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.42 |==== b . 76.64 |==================================================================== c . 71.04 |=============================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.45 |==== b . 55.66 |=============================================================== c . 59.68 |==================================================================== NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.39 |==== b . 75.30 |==================================================================== c . 66.65 |============================================================ NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 3.77 |==== b . 59.72 |================================================================ c . 63.80 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 3.77 |==== b . 62.71 |=================================================================== c . 63.33 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.40 |==== b . 54.38 |================================================================= c . 56.62 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 8.05 |==== b . 132.95 |=================================================================== c . 133.77 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 11.36 |==== b . 184.62 |=================================================================== c . 178.40 |================================================================= NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 8.36 |==== b . 130.84 |================================================================= c . 134.78 |=================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.50 |==== b . 54.67 |================================================================== c . 56.24 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 9.44 |==== b . 132.13 |=========================================================== c . 149.31 |=================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 23.94 |==== b . 372.91 |=================================================================== c . 349.97 |=============================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 11.90 |==== b . 177.20 |=================================================================== c . 164.33 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 18.97 |===== b . 282.29 |=================================================================== c . 266.51 |=============================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 23.98 |===== b . 354.34 |=================================================================== c . 328.87 |============================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 11.91 |===== b . 174.87 |=================================================================== c . 174.48 |=================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 18.82 |===== b . 273.80 |=================================================================== c . 265.17 |================================================================= NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 13.84 |===== b . 196.54 |=================================================================== c . 180.35 |============================================================= NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.29 |===== b . 13.67 |==================================================== c . 17.89 |==================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 10.75 |===== b . 143.48 |=================================================================== c . 127.58 |============================================================ NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 26.69 |===== b . 354.78 |=================================================================== c . 336.66 |================================================================ NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 4.83 |===== b . 62.98 |==================================================================== c . 55.01 |=========================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 26.68 |===== b . 347.17 |=================================================================== c . 341.71 |================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 5.05 |===== b . 57.01 |============================================================ c . 64.89 |==================================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 7.17 |===== b . 88.38 |================================================================== c . 91.44 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 182.09 |====== b . 2069.02 |================================================================== c . 1933.05 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 47.81 |====== b . 542.46 |=================================================================== c . 541.65 |=================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 49.76 |====== b . 563.22 |=================================================================== c . 534.25 |================================================================ NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 185.96 |====== b . 2056.91 |================================================================== c . 1952.08 |=============================================================== Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 69.50 |==================================================================== b . 69.31 |==================================================================== c . 36.33 |==================================== Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 6702.46 |================================================================== b . 4404.68 |=========================================== c . 5819.48 |========================================================= DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 7683 |================================================ b . 7183 |============================================= c . 10909 |==================================================================== Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 788775.98 |================================================================ b . 614301.31 |================================================== c . 541147.88 |============================================ Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 11875.81 |================================================================= b . 9743.95 |===================================================== c . 8453.72 |============================================== Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 6382311.82 |=============================================================== b . 5221036.03 |==================================================== c . 4574104.46 |============================================= Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 91.38 |==================================================================== b . 90.40 |=================================================================== c . 67.68 |================================================== Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 3597888.50 |=============================================================== b . 3169430.98 |======================================================= c . 2687720.74 |=============================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 3997.83 |================================================== b . 5234.04 |================================================================== c . 4034.91 |=================================================== Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better a . 19571.06 |================================================================= b . 17963.97 |============================================================ c . 15226.03 |=================================================== QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 110.52 |==================================================== b . 110.13 |==================================================== c . 141.41 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 26473 |===================================================== b . 26522 |===================================================== c . 33836 |==================================================================== Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 8568428.80 |============================================================ b . 7131559.06 |================================================== c . 9046086.62 |=============================================================== Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 74606.13 |================================================================= b . 58965.05 |=================================================== c . 60163.92 |==================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 29.05 |======================================================== b . 27.95 |====================================================== c . 35.13 |==================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 68.74 |================================================================= b . 71.43 |==================================================================== c . 56.86 |====================================================== Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 1275453.62 |=============================================================== b . 1281240.89 |=============================================================== c . 1028677.94 |=================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 992.85 |===================================================== b . 1232.90 |================================================================== c . 1185.50 |=============================================================== Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 18920 |======================================================= b . 23420 |==================================================================== c . 22910 |=================================================================== Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 1800239.74 |=============================================================== b . 1732350.97 |============================================================= c . 1454355.06 |=================================================== Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 1450.68 |================================================================== b . 1175.93 |====================================================== c . 1179.30 |====================================================== Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 19001.52 |================================================================= b . 15774.03 |====================================================== c . 15404.09 |===================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 1627.74 |================================================================= b . 1337.88 |====================================================== c . 1647.77 |================================================================== Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 575521.32 |================================================================ b . 467858.43 |==================================================== c . 497416.91 |======================================================= Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 104.16 |=================================================================== b . 85.03 |======================================================= c . 85.43 |======================================================= Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 44.52 |==================================================================== b . 36.67 |======================================================== c . 36.39 |======================================================== Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better a . 1644.27 |================================================================== b . 1377.23 |======================================================= c . 1350.58 |====================================================== Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 1325769.49 |=============================================================== b . 1291162.21 |============================================================= c . 1089870.73 |==================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 1723.39 |======================================================= b . 2080.34 |================================================================== c . 1755.69 |======================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 526.74 |=================================================================== b . 436.98 |======================================================== c . 436.97 |======================================================== Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 2533.58 |================================================================== b . 2144.47 |======================================================== c . 2126.84 |======================================================= Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 40150.80 |================================================================= b . 34114.33 |======================================================= c . 33753.34 |======================================================= Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 8190.18 |================================================================== b . 7691.29 |============================================================== c . 6915.21 |======================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 124 |====================================================================== b . 124 |====================================================================== c . 105 |=========================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 33081 |========================================================== b . 33073 |========================================================== c . 39043 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 530.61 |=================================================================== b . 451.17 |========================================================= c . 456.13 |========================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 12.14 |========================================================== b . 12.66 |============================================================ c . 14.25 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 164.34 |=================================================================== b . 157.58 |================================================================ c . 140.06 |========================================================= SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 191.61 |========================================================== b . 189.29 |========================================================= c . 221.84 |=================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 3223 |=========================================================== b . 3772 |===================================================================== c . 3335 |============================================================= Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 43984 |==================================================================== b . 37649 |========================================================== c . 37916 |=========================================================== Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 19810.07 |================================================================= b . 18411.16 |============================================================ c . 16983.95 |======================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 4.6989 |========================================================== b . 5.0779 |=============================================================== c . 5.4230 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 423.50 |=================================================================== b . 391.97 |============================================================== c . 367.11 |========================================================== DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 1248 |============================================================ b . 1438 |===================================================================== c . 1264 |============================================================= DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 3315 |=============================================================== b . 3645 |===================================================================== c . 3187 |============================================================ oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 11.33250 |================================================================= b . 10.26470 |=========================================================== c . 9.93517 |========================================================= Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 4206478.30 |============================================================== b . 3753786.13 |======================================================= c . 4280472.18 |=============================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 21.44 |============================================================ b . 24.37 |==================================================================== c . 22.28 |============================================================== SVT-AV1 1.7 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 37.70 |==================================================================== b . 37.90 |==================================================================== c . 33.44 |============================================================ SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 4.593 |================================================================= b . 4.801 |==================================================================== c . 4.250 |============================================================ OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.47 |============================================================= b . 0.53 |===================================================================== c . 0.53 |===================================================================== Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 259593.94 |================================================================ b . 230331.68 |========================================================= c . 230559.53 |========================================================= OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 65.40 |============================================================= b . 73.40 |==================================================================== c . 72.42 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 61.12 |==================================================================== b . 54.46 |============================================================= c . 55.20 |============================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 8360.99 |================================================================== b . 7457.91 |=========================================================== c . 7460.73 |=========================================================== Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 87060.44 |================================================================= b . 83444.87 |============================================================== c . 77712.52 |========================================================== Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better a . 3286500.94 |=============================================================== b . 2941192.56 |======================================================== c . 2989197.58 |========================================================= Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better a . 1556806.04 |============================================================== b . 1573811.12 |=============================================================== c . 1409614.10 |======================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 53.07 |==================================================================== b . 47.86 |============================================================= c . 47.69 |============================================================= OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 75.35 |============================================================= b . 83.53 |==================================================================== c . 83.82 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 41 |======================================================================= b . 40 |===================================================================== c . 37 |================================================================ easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 10.613 |=================================================================== b . 9.924 |=============================================================== c . 9.620 |============================================================= OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 217399 |============================================================= b . 218393 |============================================================= c . 239831 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 858149 |============================================================= b . 856610 |============================================================= c . 943953 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 6673 |=============================================================== b . 6704 |=============================================================== c . 7343 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 111136 |============================================================= b . 111078 |============================================================= c . 122118 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 112613 |============================================================= b . 113201 |============================================================= c . 123787 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.11 |===================================================================== b . 1.07 |=================================================================== c . 1.01 |=============================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 6768 |=============================================================== b . 6786 |=============================================================== c . 7425 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 221087 |============================================================= b . 222412 |============================================================= c . 242527 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 10149.8 |============================================================== b . 10851.9 |================================================================== c . 9898.3 |============================================================ OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 429631 |============================================================= b . 429276 |============================================================= c . 470269 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 132433 |============================================================= b . 132979 |============================================================= c . 145066 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 260252 |============================================================= b . 261073 |============================================================= c . 285007 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 869726 |============================================================= b . 870122 |============================================================= c . 951381 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1025430 |============================================================ b . 1024292 |============================================================ c . 1119430 |================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7982 |=============================================================== b . 7987 |=============================================================== c . 8722 |===================================================================== Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 297.71 |============================================================= b . 298.85 |============================================================== c . 325.29 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 514920 |============================================================= b . 514145 |============================================================= c . 561556 |=================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.76989 |============================================================ b . 6.76791 |============================================================ c . 7.39175 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 436532 |============================================================= b . 438395 |============================================================== c . 476659 |=================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 76.19 |==================================================================== b . 69.78 |============================================================== c . 75.96 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 6.04 |=============================================================== b . 6.59 |===================================================================== c . 6.56 |===================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 72.27 |==================================================================== b . 66.28 |============================================================== c . 71.47 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 27.66 |============================================================== b . 30.16 |==================================================================== c . 27.97 |=============================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 660.54 |=================================================================== b . 606.16 |============================================================= c . 608.75 |============================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 3600.29 |============================================================= b . 3719.15 |=============================================================== c . 3922.05 |================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 86.90 |============================================================== b . 92.70 |=================================================================== c . 94.63 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 23.01 |==================================================================== b . 21.57 |================================================================ c . 21.13 |============================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 287.28 |============================================================== b . 312.41 |=================================================================== c . 312.33 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 37.89 |=============================================================== b . 41.18 |==================================================================== c . 41.07 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 13.90 |==================================================================== b . 12.79 |=============================================================== c . 12.79 |=============================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 105.49 |=================================================================== b . 97.09 |============================================================== c . 97.33 |============================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 42.13 |==================================================================== b . 41.54 |=================================================================== c . 38.79 |=============================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 8552.11 |================================================================== b . 7883.39 |============================================================= c . 7888.21 |============================================================= OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 11.59 |==================================================================== b . 10.78 |=============================================================== c . 10.72 |=============================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 4.05 |===================================================================== b . 3.75 |================================================================ c . 3.75 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 344.94 |============================================================== b . 370.73 |=================================================================== c . 372.34 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 48.04 |=============================================================== b . 51.72 |==================================================================== c . 51.79 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 83.21 |==================================================================== b . 77.29 |=============================================================== c . 77.19 |=============================================================== Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 151.83 |============================================================== b . 163.56 |=================================================================== c . 155.80 |================================================================ OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 985.39 |============================================================= b . 1059.61 |================================================================== c . 1061.06 |================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 222.05 |============================================================== b . 222.61 |============================================================== c . 239.07 |=================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 3397 |================================================================ b . 3655 |===================================================================== c . 3541 |=================================================================== Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 1190.72 |================================================================== b . 1175.31 |================================================================= c . 1107.03 |============================================================= Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 3933.30 |================================================================== b . 3841.89 |================================================================ c . 3666.05 |============================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 81.00 |==================================================================== b . 75.63 |=============================================================== c . 75.52 |=============================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 49.36 |=============================================================== b . 52.86 |==================================================================== c . 52.94 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 189.77 |=================================================================== b . 185.32 |================================================================= c . 177.32 |=============================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 346.37 |=============================================================== b . 369.62 |=================================================================== c . 370.61 |=================================================================== Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better a . 814204.59 |================================================================ b . 761130.78 |============================================================ c . 808351.87 |================================================================ OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 11.52 |==================================================================== b . 10.81 |================================================================ c . 10.77 |================================================================ OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 27.41 |================================================================ b . 29.13 |==================================================================== c . 29.26 |==================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 145.83 |=================================================================== b . 137.20 |=============================================================== c . 136.61 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 136.21 |=============================================================== b . 145.16 |=================================================================== c . 136.01 |=============================================================== Neural Magic DeepSparse 1.5 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 14.68 |==================================================================== b . 13.77 |================================================================ c . 14.70 |==================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 41.06 |==================================================================== b . 38.82 |================================================================ c . 38.72 |================================================================ OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 97.39 |=============================================================== b . 103.02 |=================================================================== c . 103.24 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 93.65 |==================================================================== b . 88.48 |================================================================ c . 92.45 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 21.35 |================================================================ b . 22.59 |==================================================================== c . 21.62 |================================================================= DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 5151 |================================================================= b . 5416 |===================================================================== c . 5444 |===================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 4.9067 |=================================================================== b . 4.9376 |=================================================================== c . 4.6745 |=============================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1392 |===================================================================== b . 1321 |================================================================= c . 1362 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 17.97 |================================================================= b . 18.93 |==================================================================== c . 18.88 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 222.27 |=================================================================== b . 211.09 |================================================================ c . 211.63 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.3887 |================================================================ b . 3.5666 |=================================================================== c . 3.3874 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 590.17 |=================================================================== b . 560.72 |================================================================ c . 590.37 |=================================================================== QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 687.22 |=================================================================== b . 653.08 |================================================================ c . 675.81 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 10.38 |================================================================= b . 10.91 |==================================================================== c . 10.86 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 384.36 |=================================================================== b . 366.17 |================================================================ c . 368.00 |================================================================ Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 31.29 |================================================================= b . 31.27 |================================================================= c . 32.75 |==================================================================== Neural Magic DeepSparse 1.5 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 63.85 |==================================================================== b . 63.89 |==================================================================== c . 61.01 |================================================================= Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 335053.51 |============================================================= b . 350882.75 |================================================================ c . 335942.42 |============================================================= QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 83.22 |================================================================= b . 83.17 |================================================================= c . 87.02 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 5.2742 |=================================================================== b . 5.2679 |=================================================================== c . 5.0433 |================================================================ Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 6.1486 |=================================================================== b . 6.1218 |=================================================================== c . 5.8890 |================================================================ OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.37 |================================================================== b . 1.40 |==================================================================== c . 1.43 |===================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8299.4 |================================================================ b . 8646.1 |=================================================================== c . 8660.0 |=================================================================== Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 469.68 |================================================================= b . 466.25 |================================================================ c . 485.92 |=================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6601.2 |================================================================== b . 6738.5 |=================================================================== c . 6470.2 |================================================================ OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 2874.25 |================================================================== b . 2834.17 |================================================================= c . 2763.40 |=============================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 3.843 |==================================================================== b . 3.858 |==================================================================== c . 3.711 |================================================================= Neural Magic DeepSparse 1.5 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.2577 |=================================================================== b . 4.2784 |=================================================================== c . 4.1156 |================================================================ Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 339.75 |=================================================================== b . 328.60 |================================================================= c . 327.19 |================================================================= OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 14.73 |================================================================== b . 15.29 |==================================================================== c . 15.17 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 271.08 |=================================================================== b . 261.21 |================================================================= c . 263.43 |================================================================= C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8499.9 |================================================================= b . 8751.4 |=================================================================== c . 8437.5 |================================================================= DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 4755 |===================================================================== b . 4585 |=================================================================== c . 4654 |==================================================================== Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better a . 773.96 |================================================================= b . 801.63 |=================================================================== c . 773.35 |================================================================= DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 5250 |=================================================================== b . 5440 |===================================================================== c . 5419 |===================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.738 |==================================================================== b . 1.733 |==================================================================== c . 1.679 |================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 2554 |=================================================================== b . 2524 |=================================================================== c . 2612 |===================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.15486 |================================================================ b . 2.22896 |================================================================== c . 2.18576 |================================================================= QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 3489.3 |=================================================================== b . 3488.1 |=================================================================== c . 3375.6 |================================================================= FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 50.35 |=================================================================== b . 51.03 |==================================================================== c . 49.38 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 6558 |==================================================================== b . 6472 |=================================================================== c . 6687 |===================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 8558.6 |================================================================= b . 8842.0 |=================================================================== c . 8780.8 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 8877.9 |================================================================= b . 9133.5 |=================================================================== c . 8841.6 |================================================================= C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 9769.5 |================================================================ b . 10085.2 |================================================================== c . 10073.9 |================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 13707.0 |================================================================== b . 13689.3 |================================================================== c . 13287.0 |================================================================ SVT-AV1 1.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.209 |==================================================================== b . 1.211 |==================================================================== c . 1.175 |================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 16MB MB/s > Higher Is Better a . 9000.6 |================================================================= b . 9267.8 |=================================================================== c . 9052.0 |================================================================= libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a . 381.27 |================================================================= b . 383.21 |================================================================= c . 392.47 |=================================================================== Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 6.8296 |=================================================================== b . 6.7467 |================================================================== c . 6.6347 |================================================================= Neural Magic DeepSparse 1.5 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 292.80 |================================================================= b . 296.40 |================================================================== c . 301.40 |=================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a . 168.17 |================================================================= b . 168.56 |================================================================= c . 172.81 |=================================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 709 |====================================================================== b . 702 |===================================================================== c . 690 |==================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 9850.2 |================================================================ b . 10107.7 |================================================================== c . 9885.9 |================================================================= C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7801.5 |================================================================= b . 8005.2 |=================================================================== c . 7884.2 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 501.90 |================================================================= b . 504.86 |================================================================== c . 514.94 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 4883.8 |================================================================= b . 5007.6 |=================================================================== c . 4922.9 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 3.9794 |=================================================================== b . 3.9535 |=================================================================== c . 3.8837 |================================================================= DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 3123 |=================================================================== b . 3195 |===================================================================== c . 3198 |===================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 54646 |==================================================================== b . 54938 |==================================================================== c . 53711 |================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6629.3 |================================================================== b . 6779.3 |=================================================================== c . 6665.5 |================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 16.44 |==================================================================== b . 16.31 |=================================================================== c . 16.08 |=================================================================== Neural Magic DeepSparse 1.5 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 121.50 |================================================================== b . 122.59 |================================================================== c . 124.18 |=================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7.88294 |================================================================= b . 8.05175 |================================================================== c . 7.95953 |================================================================= FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 26.42 |==================================================================== b . 26.43 |==================================================================== c . 25.88 |=================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5080.8 |================================================================== b . 5182.4 |=================================================================== c . 5107.4 |================================================================== SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 42.30 |=================================================================== b . 42.44 |=================================================================== c . 43.14 |==================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.87897 |================================================================ b . 10.07040 |================================================================= c . 10.03890 |================================================================= C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7691.6 |================================================================== b . 7799.7 |=================================================================== c . 7839.9 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 26.42 |==================================================================== b . 26.40 |==================================================================== c . 25.93 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 32MB MB/s > Higher Is Better a . 8124.8 |================================================================== b . 8273.4 |=================================================================== c . 8221.1 |=================================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 9.678 |==================================================================== b . 9.506 |=================================================================== c . 9.597 |=================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 31.22 |=================================================================== b . 31.76 |==================================================================== c . 31.75 |==================================================================== CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 206.97 |=================================================================== b . 203.68 |================================================================== c . 203.49 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.40204 |================================================================= b . 2.44303 |================================================================== c . 2.40573 |================================================================= DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 14549 |==================================================================== b . 14537 |==================================================================== c . 14307 |=================================================================== Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 1503.69 |================================================================== b . 1497.30 |================================================================== c . 1479.59 |================================================================= VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 5.428 |==================================================================== b . 5.415 |==================================================================== c . 5.343 |=================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 2337.79 |================================================================= b . 2342.49 |================================================================= c . 2374.92 |================================================================== Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 38.00 |=================================================================== b . 38.26 |=================================================================== c . 38.60 |==================================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 256MB MB/s > Higher Is Better a . 5086.8 |=================================================================== b . 5087.2 |=================================================================== c . 5010.3 |================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a . 14.73 |=================================================================== b . 14.83 |=================================================================== c . 14.95 |==================================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 245.14 |=================================================================== b . 243.36 |=================================================================== c . 241.64 |================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 6163 |==================================================================== b . 6160 |==================================================================== c . 6249 |===================================================================== Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 128.96 |================================================================== b . 128.75 |================================================================== c . 130.59 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 13.29 |==================================================================== b . 13.26 |==================================================================== c . 13.11 |=================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 117.10 |=================================================================== b . 116.20 |================================================================== c . 117.62 |=================================================================== Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better a . 583755.41 |================================================================ b . 577995.91 |=============================================================== c . 577081.19 |=============================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 22.31 |==================================================================== b . 22.19 |=================================================================== c . 22.45 |==================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 653.24 |=================================================================== b . 650.51 |================================================================== c . 657.96 |=================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.45216 |================================================================= b . 2.44729 |================================================================= c . 2.47290 |================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 12.63 |=================================================================== b . 12.69 |==================================================================== c . 12.76 |==================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 1296.13 |================================================================= b . 1299.28 |================================================================== c . 1309.17 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 42.98 |=================================================================== b . 43.39 |==================================================================== c . 43.16 |==================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 14326 |=================================================================== b . 14327 |=================================================================== c . 14456 |==================================================================== Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 7870.33 |================================================================== b . 7909.16 |================================================================== c . 7843.28 |================================================================= SVT-AV1 1.7 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 290.54 |=================================================================== b . 289.78 |=================================================================== c . 288.16 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 5.96832 |================================================================== b . 5.92005 |================================================================= c . 5.93496 |================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 79.32 |==================================================================== b . 78.74 |==================================================================== c . 78.68 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 31575 |==================================================================== b . 31507 |==================================================================== c . 31324 |=================================================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 482.80 |=================================================================== b . 479.06 |================================================================== c . 480.70 |=================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 36.73 |=================================================================== b . 36.80 |==================================================================== c . 37.01 |==================================================================== Neural Magic DeepSparse 1.5 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 54.41 |==================================================================== b . 54.31 |==================================================================== c . 53.99 |=================================================================== SVT-AV1 1.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 14.86 |==================================================================== b . 14.84 |==================================================================== c . 14.76 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 4.4332 |=================================================================== b . 4.4038 |=================================================================== c . 4.4308 |=================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better a . 7845 |===================================================================== b . 7797 |===================================================================== c . 7848 |===================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 7128.22 |================================================================== b . 7138.73 |================================================================== c . 7174.36 |================================================================== DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 4418 |===================================================================== b . 4400 |===================================================================== c . 4428 |===================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 49.70 |==================================================================== b . 50.01 |==================================================================== c . 49.79 |==================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.49762 |================================================================== b . 8.44523 |================================================================== c . 8.47369 |================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 79.05 |==================================================================== b . 79.50 |==================================================================== c . 79.15 |==================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6914 |===================================================================== b . 6893 |===================================================================== c . 6876 |===================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 37.08 |==================================================================== b . 37.15 |==================================================================== c . 37.24 |==================================================================== Neural Magic DeepSparse 1.5 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 53.89 |==================================================================== b . 53.77 |==================================================================== c . 53.66 |==================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 128MB MB/s > Higher Is Better a . 6398.4 |=================================================================== b . 6413.8 |=================================================================== c . 6391.1 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 4.1966 |=================================================================== b . 4.2047 |=================================================================== c . 4.2112 |=================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.08399 |================================================================== b . 6.09457 |================================================================== c . 6.07427 |================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.58930 |================================================================== b . 1.59378 |================================================================== c . 1.59090 |================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 189.03 |=================================================================== b . 188.68 |=================================================================== c . 188.52 |=================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 2943 |===================================================================== b . 2939 |===================================================================== c . 2947 |===================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 64MB MB/s > Higher Is Better a . 7456.9 |=================================================================== b . 7472.9 |=================================================================== c . 7452.8 |=================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 50.88 |==================================================================== b . 51.01 |==================================================================== c . 50.97 |==================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 13.20 |==================================================================== b . 13.21 |==================================================================== c . 13.17 |==================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3671.69 |================================================================== b . 3680.74 |================================================================== c . 3680.01 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 5346 |===================================================================== b . 5341 |===================================================================== c . 5351 |===================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 4.8695 |=================================================================== b . 4.8785 |=================================================================== c . 4.8776 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 3703.86 |================================================================== b . 3697.25 |================================================================== c . 3699.85 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 35.72 |==================================================================== b . 35.78 |==================================================================== c . 35.73 |==================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 7189.12 |================================================================== b . 7178.37 |================================================================== c . 7178.94 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3701.08 |================================================================== b . 3699.05 |================================================================== c . 3703.50 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 7179.51 |================================================================== b . 7178.23 |================================================================== c . 7176.24 |================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 9651.39 |================================================================== b . 9651.58 |================================================================== c . 9653.77 |================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.07 |===================================================================== b . 0.07 |===================================================================== c . 0.07 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== c . 0.15 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== c . 0.15 |===================================================================== RabbitMQ 3.12.7 Scenario: 200 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 120 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 60 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 10 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: Simple 2 Publishers + 4 Consumers Messages/s > Higher Is Better