Default string Default string
Geekbench ML Score
5649
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 03:22 PM |
| Views | 10 |
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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2393
447.7 IPS |
|
|
Image Classification (F16)
|
100% |
2348
439.4 IPS |
|
|
Image Classification (I8)
|
100% |
2167
405.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
3415
57.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3425
57.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2878
48.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
34372
41.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
34838
42.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25518
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
1503
112.2 IPS |
|
|
Object Detection (F16)
|
100% |
1554
116.0 IPS |
|
|
Object Detection (I8)
|
62% |
1477
110.3 IPS |
|
|
Face Detection (F32)
|
100% |
5280
62.8 IPS |
|
|
Face Detection (F16)
|
100% |
5262
62.6 IPS |
|
|
Face Detection (I8)
|
89% |
4001
47.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14192
110.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13678
106.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
11545
89.5 IPS |
|
|
Style Transfer (F32)
|
100% |
54250
71.4 IPS |
|
|
Style Transfer (F16)
|
100% |
55112
72.5 IPS |
|
|
Style Transfer (I8)
|
98% |
40105
52.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7917
282.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9534
340.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6954
248.3 IPS |
|
|
Text Classification (F32)
|
100% |
1830
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1868
2.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1412
2.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
2716
50.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2627
48.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1556
28.6 IPS |
