GEEKOM A9 Max
Geekbench ML Score
4138
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1796
336.1 IPS |
|
|
Image Classification (F16)
|
100% |
1806
338.0 IPS |
|
|
Image Classification (I8)
|
99% |
4350
814.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1255
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3065
51.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8149
9.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
8066
9.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
27460
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
1981
147.9 IPS |
|
|
Object Detection (F16)
|
100% |
1964
146.6 IPS |
|
|
Object Detection (I8)
|
62% |
2203
164.5 IPS |
|
|
Face Detection (F32)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (F16)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (I8)
|
89% |
5827
69.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7996
62.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8055
62.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
17611
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18533
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
18641
24.5 IPS |
|
|
Style Transfer (I8)
|
98% |
29989
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3134
111.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3189
113.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4668
166.7 IPS |
|
|
Text Classification (F32)
|
100% |
1666
2.39 KIPS |
|
|
Text Classification (F16)
|
100% |
1629
2.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1176
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2688
49.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2654
48.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3728
68.6 IPS |
