GEEKOM A9 Max
Geekbench AI Score
5944
Single Precision Score
5900
Half Precision Score
16031
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 10:54 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 Professionnel (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Utilisation normale |
| 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% |
3455
642.5 IPS |
|
|
Image Classification (HP)
|
100% |
3642
677.2 IPS |
|
|
Image Classification (Q)
|
100% |
10489
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4358
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11846
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8302
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
32846
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (HP)
|
100% |
3444
273.2 IPS |
|
|
Object Detection (Q)
|
88% |
10647
853.5 IPS |
|
|
Face Detection (SP)
|
100% |
8365
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
8460
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
28139
334.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9872
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9775
75.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
26540
206.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22888
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22732
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86945
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15729
582.5 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6237
107.4 IPS |
