GEEKOM A7 Max
Geekbench ML Score
3674
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 02:47 PM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A7 Max |
| Motherboard | Default string A7 Max |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1647
308.2 IPS |
|
|
Image Classification (F16)
|
100% |
1673
313.0 IPS |
|
|
Image Classification (I8)
|
100% |
1449
271.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1858
31.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1859
31.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1546
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
24462
29.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24178
29.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16003
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
1390
103.8 IPS |
|
|
Object Detection (I8)
|
62% |
1290
96.3 IPS |
|
|
Face Detection (F32)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (F16)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (I8)
|
89% |
2056
24.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
9852
76.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10238
79.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
7628
59.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28069
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28206
37.1 IPS |
|
|
Style Transfer (I8)
|
98% |
22713
29.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5174
184.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5406
193.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3730
133.2 IPS |
|
|
Text Classification (F32)
|
100% |
1461
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1467
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1211
1.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1606
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1617
29.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1148
21.1 IPS |
