GEEKOM A8
Geekbench ML Score
3801
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 08:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM A8 |
| Motherboard | Default string A8 |
| Power Plan | Ausbalanciert |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2118
396.3 IPS |
|
|
Image Classification (F16)
|
100% |
2108
394.4 IPS |
|
|
Image Classification (I8)
|
99% |
5037
942.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2512
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7445
9.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
7343
8.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
26191
31.7 IPS |
|
|
Object Detection (F32)
|
100% |
2123
158.5 IPS |
|
|
Object Detection (F16)
|
100% |
2124
158.6 IPS |
|
|
Object Detection (I8)
|
62% |
2035
151.9 IPS |
|
|
Face Detection (F32)
|
100% |
3503
41.7 IPS |
|
|
Face Detection (F16)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (I8)
|
89% |
5353
63.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8433
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8374
64.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
17092
132.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17584
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17312
22.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26673
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2738
97.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3063
109.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3850
137.5 IPS |
|
|
Text Classification (F32)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (I8)
|
98% |
387
555.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2269
41.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2287
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2865
52.7 IPS |
