GEEKOM A9 Mega
Geekbench AI Score
25480
Single Precision Score
35296
Half Precision Score
19836
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Nghayward |
| Upload Date | February 07 2026 12:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A9 Mega |
| Motherboard | Standard A9 Mega |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12652
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13826
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
11362
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21781
353.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16855
273.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17496
284.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
124928
145.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
300504
350.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
104528
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
7044
558.7 IPS |
|
|
Object Detection (HP)
|
100% |
13640
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
6973
560.0 IPS |
|
|
Face Detection (SP)
|
100% |
29865
354.9 IPS |
|
|
Face Detection (HP)
|
100% |
47343
562.5 IPS |
|
|
Face Detection (Q)
|
97% |
24517
292.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53224
410.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73724
568.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
44737
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
241874
310.9 IPS |
|
|
Style Transfer (HP)
|
100% |
440626
566.4 IPS |
|
|
Style Transfer (Q)
|
98% |
204393
263.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43622
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57562
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32748
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4189
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2818
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6771
116.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8194
141.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3147
59.0 IPS |
