Geekbench ML Score

23445
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

User mweinbach
Upload Date December 08 2023 04:50 PM
Views 4

System Information

System Information
Operating System Microsoft Windows 11 Home (64-bit)
Model Micro-Star International Co., Ltd. MS-7D91
Motherboard Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91)
Power PlanHigh performance
CPU Information
Name Intel Core i9-13900K
Topology 1 Processor, 24 Cores, 32 Threads
Identifier GenuineIntel Family 6 Model 183 Stepping 1
Base Frequency 3.00 GHz
Cluster 18 Cores
Cluster 216 Cores
L1 Instruction Cache32.0 KB x 16
L1 Data Cache48.0 KB x 16
L2 Cache2.00 MB x 4
L3 Cache36.0 MB x 1
Memory Information
Size 32.00 GB
Inference Information
Framework ONNX
Backend DirectML
Device NVIDIA GeForce RTX 4090

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 10591
1.98 KIPS
 
Image Classification (F16)
100% 10391
1.94 KIPS
 
Image Classification (I8)
100% 9266
1.73 KIPS
 
Image Segmentation (F32)
100% 15129
252.7 IPS
 
Image Segmentation (F16)
100% 14747
246.3 IPS
 
Image Segmentation (I8)
98% 14064
234.9 IPS
 
Pose Estimation (F32)
100% 271294
328.5 IPS
 
Pose Estimation (F16)
100% 275439
333.5 IPS
 
Pose Estimation (I8)
100% 236366
286.2 IPS
 
Object Detection (F32)
100% 5302
395.8 IPS
 
Object Detection (F16)
100% 4816
359.5 IPS
 
Object Detection (I8)
54% 5120
382.2 IPS
 
Face Detection (F32)
100% 34499
410.2 IPS
 
Face Detection (F16)
100% 34701
412.6 IPS
 
Face Detection (I8)
88% 29800
354.3 IPS
 
Depth Estimation (F32)
100% 76161
590.6 IPS
 
Depth Estimation (F16)
100% 72551
562.6 IPS
 
Depth Estimation (I8)
95% 59282
459.7 IPS
 
Style Transfer (F32)
100% 424781
558.8 IPS
 
Style Transfer (F16)
100% 429533
565.0 IPS
 
Style Transfer (I8)
98% 378588
498.0 IPS
 
Image Super-Resolution (F32)
100% 43294
1.55 KIPS
 
Image Super-Resolution (F16)
100% 44938
1.60 KIPS
 
Image Super-Resolution (I8)
99% 35390
1.26 KIPS
 
Text Classification (F32)
100% 2630
3.78 KIPS
 
Text Classification (F16)
100% 2573
3.70 KIPS
 
Text Classification (I8)
98% 1557
2.24 KIPS
 
Machine Translation (F32)
100% 3646
67.1 IPS
 
Machine Translation (F16)
100% 3568
65.7 IPS
 
Machine Translation (I8)
70% 2246
41.3 IPS
 

Compare

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