GEEKOM A9 Max
Geekbench AI Score
7721
Single Precision Score
13531
Half Precision Score
5660
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
5684
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
1918
356.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4336
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5783
93.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3507
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
48511
56.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102623
119.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33665
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
3415
270.9 IPS |
|
|
Object Detection (Q)
|
87% |
2028
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
6282
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
11628
138.2 IPS |
|
|
Face Detection (Q)
|
97% |
5275
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17915
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29789
229.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14691
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79289
101.9 IPS |
|
|
Style Transfer (HP)
|
100% |
161652
207.8 IPS |
|
|
Style Transfer (Q)
|
98% |
52477
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13562
500.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29312
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7198
266.5 IPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1468
27.5 IPS |
