GEEKOM A6
Geekbench ML Score
4197
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 04:11 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A6 |
| Motherboard | Default string A6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1662
311.0 IPS |
|
|
Image Classification (F16)
|
100% |
1617
302.5 IPS |
|
|
Image Classification (I8)
|
100% |
1346
251.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2665
44.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2613
43.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2112
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
26661
32.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
25886
31.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
19048
23.1 IPS |
|
|
Object Detection (F32)
|
100% |
1325
98.9 IPS |
|
|
Object Detection (F16)
|
100% |
1350
100.8 IPS |
|
|
Object Detection (I8)
|
62% |
1211
90.4 IPS |
|
|
Face Detection (F32)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (F16)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (I8)
|
89% |
3073
36.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10811
83.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10980
85.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
8375
65.0 IPS |
|
|
Style Transfer (F32)
|
100% |
44413
58.4 IPS |
|
|
Style Transfer (F16)
|
100% |
45255
59.5 IPS |
|
|
Style Transfer (I8)
|
98% |
28013
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7042
251.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7641
272.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5342
190.8 IPS |
|
|
Text Classification (F32)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1131
1.63 KIPS |
|
|
Text Classification (I8)
|
98% |
783
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1940
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
36.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1026
18.9 IPS |
