GEEKOM A8
Geekbench ML Score
3859
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 19 2024 12:58 PM |
| Views | 17 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2168
405.7 IPS |
|
|
Image Classification (F16)
|
100% |
2185
408.9 IPS |
|
|
Image Classification (I8)
|
99% |
5133
960.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
960
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
909
15.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2563
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7480
9.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
7687
9.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
25915
31.4 IPS |
|
|
Object Detection (F32)
|
100% |
2058
153.7 IPS |
|
|
Object Detection (F16)
|
100% |
2141
159.8 IPS |
|
|
Object Detection (I8)
|
62% |
2150
160.5 IPS |
|
|
Face Detection (F32)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (F16)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (I8)
|
89% |
5340
63.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8631
66.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8635
67.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
16493
127.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16467
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17060
22.4 IPS |
|
|
Style Transfer (I8)
|
98% |
26377
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2923
104.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2989
106.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3878
138.5 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1912
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
396
569.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2210
40.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2259
41.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2955
54.4 IPS |
