GEEKOM A8
Geekbench ML Score
5115
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 03:48 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A8 |
| Motherboard | Default string A8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2639
493.8 IPS |
|
|
Image Classification (F16)
|
100% |
2611
488.6 IPS |
|
|
Image Classification (I8)
|
100% |
2280
426.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2672
44.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2735
45.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2280
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
37783
45.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
33688
40.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
26750
32.4 IPS |
|
|
Object Detection (F32)
|
100% |
1884
140.7 IPS |
|
|
Object Detection (F16)
|
100% |
1845
137.8 IPS |
|
|
Object Detection (I8)
|
62% |
1790
133.7 IPS |
|
|
Face Detection (F32)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (F16)
|
100% |
5151
61.3 IPS |
|
|
Face Detection (I8)
|
89% |
3970
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15148
117.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15241
118.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12704
98.5 IPS |
|
|
Style Transfer (F32)
|
100% |
30483
40.1 IPS |
|
|
Style Transfer (F16)
|
100% |
29916
39.4 IPS |
|
|
Style Transfer (I8)
|
98% |
25709
33.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5531
197.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5772
206.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4386
156.6 IPS |
|
|
Text Classification (F32)
|
100% |
1554
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1580
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1352
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
2471
45.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2510
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1616
29.7 IPS |
