GEEKOM A9 Max
Geekbench ML Score
6285
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 04:11 PM |
| Views | 3 |
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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2266
423.9 IPS |
|
|
Image Classification (F16)
|
100% |
1918
359.0 IPS |
|
|
Image Classification (I8)
|
100% |
2374
444.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3964
66.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3904
65.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3237
54.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
44814
54.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
43926
53.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31826
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
1659
123.9 IPS |
|
|
Object Detection (F16)
|
100% |
1608
120.1 IPS |
|
|
Object Detection (I8)
|
62% |
1519
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
5499
65.4 IPS |
|
|
Face Detection (F16)
|
100% |
5518
65.6 IPS |
|
|
Face Detection (I8)
|
89% |
4273
50.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
15866
123.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
16375
127.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12854
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
69633
91.6 IPS |
|
|
Style Transfer (F16)
|
100% |
67665
89.0 IPS |
|
|
Style Transfer (I8)
|
98% |
47001
61.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10720
382.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10802
385.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7601
271.5 IPS |
|
|
Text Classification (F32)
|
100% |
2467
3.55 KIPS |
|
|
Text Classification (F16)
|
100% |
2257
3.24 KIPS |
|
|
Text Classification (I8)
|
98% |
1652
2.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2390
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1523
28.0 IPS |
