GEEKOM A9 Max
Geekbench AI Score
4312
Single Precision Score
2031
Half Precision Score
7947
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 11:24 AM |
| Views | 6 |
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 |
| 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% |
3411
634.3 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.6 IPS |
|
|
Image Classification (Q)
|
99% |
8084
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11173
181.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8369
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
27603
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3372
267.4 IPS |
|
|
Object Detection (HP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
8150
655.0 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
1982
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
11755
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9667
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3184
24.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17996
143.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18908
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16541
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34485
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2728
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1447
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.0 IPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3018
60.6 IPS |
