Geekbench ML Score

4112
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2

Result Information

Upload Date March 05 2025 05:11 PM
Views 5

System Information

System Information
Operating System Microsoft Windows 11 Home (64-bit)
Model ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506CU_N6506CU
Motherboard ASUSTeK COMPUTER INC. N6506CU
Power PlanBalanced
CPU Information
Name Intel(R) Core(TM) Ultra 9 285H
Topology 1 Processor, 16 Cores
Identifier GenuineIntel Family 6 Model 197 Stepping 2
Base Frequency 2.90 GHz
Cluster 16 Cores
Cluster 210 Cores
L1 Instruction Cache64.0 KB x 8
L1 Data Cache48.0 KB x 8
L2 Cache3.00 MB x 2
L3 Cache24.0 MB x 1
Memory Information
Size 24.00 GB
Inference Information
Framework ONNX
Backend DirectML
Device Intel(R) Arc(TM) 140T GPU (12GB)

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 2948
551.6 IPS
 
Image Classification (F16)
100% 2868
536.7 IPS
 
Image Classification (I8)
99% 2299
430.3 IPS
 
Image Segmentation (F32)
100% 2344
39.1 IPS
 
Image Segmentation (F16)
100% 2422
40.4 IPS
 
Image Segmentation (I8)
98% 1808
30.2 IPS
 
Pose Estimation (F32)
100% 16764
20.3 IPS
 
Pose Estimation (F16)
100% 16879
20.4 IPS
 
Pose Estimation (I8)
100% 12945
15.7 IPS
 
Object Detection (F32)
100% 2703
201.8 IPS
 
Object Detection (F16)
100% 2715
202.7 IPS
 
Object Detection (I8)
60% 2177
162.6 IPS
 
Face Detection (F32)
100% 3600
42.8 IPS
 
Face Detection (F16)
100% 4004
47.6 IPS
 
Face Detection (I8)
88% 2633
31.3 IPS
 
Depth Estimation (F32)
100% 11105
86.1 IPS
 
Depth Estimation (F16)
100% 11752
91.1 IPS
 
Depth Estimation (I8)
95% 8108
62.9 IPS
 
Style Transfer (F32)
100% 41399
54.5 IPS
 
Style Transfer (F16)
100% 39805
52.4 IPS
 
Style Transfer (I8)
98% 29828
39.2 IPS
 
Image Super-Resolution (F32)
100% 7152
255.4 IPS
 
Image Super-Resolution (F16)
100% 7225
258.0 IPS
 
Image Super-Resolution (I8)
99% 4242
151.5 IPS
 
Text Classification (F32)
90% 690
991.8 IPS
 
Text Classification (F16)
90% 675
970.7 IPS
 
Text Classification (I8)
90% 511
735.1 IPS
 
Machine Translation (F32)
100% 1531
28.2 IPS
 
Machine Translation (F16)
100% 1558
28.7 IPS
 
Machine Translation (I8)
70% 923
17.0 IPS
 

Compare

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