GEEKOM A9 Max
Geekbench AI Score
5885
Single Precision Score
5931
Half Precision Score
15040
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 04:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3654
679.5 IPS |
|
|
Image Classification (HP)
|
100% |
3648
678.5 IPS |
|
|
Image Classification (Q)
|
100% |
9132
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4045
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4024
65.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10001
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8380
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
8337
9.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
32639
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3604
285.8 IPS |
|
|
Object Detection (HP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (Q)
|
88% |
10036
804.5 IPS |
|
|
Face Detection (SP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
9136
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
28035
333.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9917
76.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
9951
76.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
25554
202.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23023
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21186
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86362
111.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4838
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15523
574.9 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (Q)
|
85% |
5315
92.9 IPS |
