GEEKOM A9 Max
Geekbench AI Score
4196
Single Precision Score
2093
Half Precision Score
7910
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 06 2025 12:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Ausbalanciert |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3398
631.9 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.2 IPS |
|
|
Image Classification (Q)
|
99% |
7844
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11228
182.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
28709
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (Q)
|
86% |
8358
671.7 IPS |
|
|
Face Detection (SP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
11839
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9429
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3180
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18105
144.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18642
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16652
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34049
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2745
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2656
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1409
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
1731
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2644
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3609
72.5 IPS |
