GEEKOM A6
Geekbench ML Score
4099
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2025 04:13 PM |
| Views | 5 |
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% |
1603
300.0 IPS |
|
|
Image Classification (F16)
|
100% |
1588
297.2 IPS |
|
|
Image Classification (I8)
|
100% |
1337
250.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2616
43.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2691
44.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2117
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
25949
31.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
26263
31.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
19278
23.3 IPS |
|
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
1268
94.7 IPS |
|
|
Object Detection (I8)
|
62% |
1141
85.2 IPS |
|
|
Face Detection (F32)
|
100% |
4000
47.6 IPS |
|
|
Face Detection (F16)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (I8)
|
89% |
3056
36.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10921
84.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11062
85.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
7737
60.0 IPS |
|
|
Style Transfer (F32)
|
100% |
44645
58.7 IPS |
|
|
Style Transfer (F16)
|
100% |
44849
59.0 IPS |
|
|
Style Transfer (I8)
|
98% |
29178
38.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7276
259.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7561
270.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4804
171.6 IPS |
|
|
Text Classification (F32)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1068
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
763
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2010
37.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1559
28.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1019
18.8 IPS |
