GEEKOM A7 Max
Geekbench ML Score
3545
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 02:42 PM |
| Views | 12 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1757
328.8 IPS |
|
|
Image Classification (F16)
|
100% |
1669
312.3 IPS |
|
|
Image Classification (I8)
|
99% |
4947
925.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
936
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
942
15.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3314
55.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7136
8.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
7159
8.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
24801
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
1881
140.5 IPS |
|
|
Object Detection (F16)
|
100% |
1850
138.1 IPS |
|
|
Object Detection (I8)
|
62% |
1948
145.4 IPS |
|
|
Face Detection (F32)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (F16)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (I8)
|
89% |
3961
47.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7269
56.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7217
56.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
15208
117.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15627
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15415
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
17766
23.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2810
100.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3023
108.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3399
121.4 IPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1205
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1693
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1731
31.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2996
55.1 IPS |
