Default string Default string
Geekbench ML Score
2596
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 03:21 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1047
196.0 IPS |
|
|
Image Classification (F16)
|
100% |
1064
199.2 IPS |
|
|
Image Classification (I8)
|
99% |
2847
532.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
18.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2087
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3519
4.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
3561
4.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
14919
18.1 IPS |
|
|
Object Detection (F32)
|
100% |
1155
86.3 IPS |
|
|
Object Detection (F16)
|
100% |
1168
87.2 IPS |
|
|
Object Detection (I8)
|
62% |
1406
105.0 IPS |
|
|
Face Detection (F32)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (F16)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (I8)
|
89% |
4332
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4090
31.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4026
31.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
11157
86.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8762
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8748
11.5 IPS |
|
|
Style Transfer (I8)
|
98% |
22121
29.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1728
61.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1716
61.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3642
130.1 IPS |
|
|
Text Classification (F32)
|
100% |
992
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
978
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
868
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1940
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1969
36.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2618
48.2 IPS |
