Geekbench ML Score

24062
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

User mweinbach
Upload Date December 08 2023 04:48 PM
Views 3

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% 10442
1.95 KIPS
 
Image Classification (F16)
100% 10830
2.03 KIPS
 
Image Classification (I8)
100% 9654
1.81 KIPS
 
Image Segmentation (F32)
100% 14719
245.8 IPS
 
Image Segmentation (F16)
100% 14957
249.8 IPS
 
Image Segmentation (I8)
98% 14247
237.9 IPS
 
Pose Estimation (F32)
100% 270185
327.2 IPS
 
Pose Estimation (F16)
100% 269497
326.3 IPS
 
Pose Estimation (I8)
100% 237269
287.3 IPS
 
Object Detection (F32)
100% 5348
399.3 IPS
 
Object Detection (F16)
100% 5488
409.7 IPS
 
Object Detection (I8)
54% 5110
381.5 IPS
 
Face Detection (F32)
100% 34988
416.0 IPS
 
Face Detection (F16)
100% 35908
426.9 IPS
 
Face Detection (I8)
88% 31260
371.7 IPS
 
Depth Estimation (F32)
100% 76343
592.0 IPS
 
Depth Estimation (F16)
100% 74482
577.6 IPS
 
Depth Estimation (I8)
95% 60372
468.2 IPS
 
Style Transfer (F32)
100% 444459
584.6 IPS
 
Style Transfer (F16)
100% 444857
585.2 IPS
 
Style Transfer (I8)
98% 381571
501.9 IPS
 
Image Super-Resolution (F32)
100% 44480
1.59 KIPS
 
Image Super-Resolution (F16)
100% 45202
1.61 KIPS
 
Image Super-Resolution (I8)
99% 35122
1.25 KIPS
 
Text Classification (F32)
100% 2832
4.07 KIPS
 
Text Classification (F16)
100% 2688
3.86 KIPS
 
Text Classification (I8)
98% 1724
2.48 KIPS
 
Machine Translation (F32)
100% 3778
69.5 IPS
 
Machine Translation (F16)
100% 3739
68.8 IPS
 
Machine Translation (I8)
70% 2332
42.9 IPS
 

Compare

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