GEEKOM A9 Max
Geekbench AI Score
7873
Single Precision Score
13035
Half Precision Score
5563
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 03:55 PM |
| Views | 7 |
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% |
3138
583.7 IPS |
|
|
Image Classification (HP)
|
100% |
5602
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
2024
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5887
95.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3455
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47817
55.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
103573
120.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33237
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
3700
293.5 IPS |
|
|
Object Detection (Q)
|
87% |
1990
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (Q)
|
97% |
5166
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17619
135.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27779
214.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13647
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78916
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
143464
184.4 IPS |
|
|
Style Transfer (Q)
|
98% |
51741
66.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12138
448.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29296
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7324
271.2 IPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1563
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1472
27.6 IPS |
