AWOW Technology CO., Ltd. AMG10
Geekbench ML Score
1872
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 09:03 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AWOW Technology CO., Ltd. AMG10 |
| Motherboard | AWOW Technology CO., Ltd. MC02 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5560U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1088
203.6 IPS |
|
|
Image Classification (F16)
|
100% |
999
187.0 IPS |
|
|
Image Classification (I8)
|
97% |
1762
329.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
744
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
780
13.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1356
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3226
3.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
2864
3.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
6962
8.43 IPS |
|
|
Object Detection (F32)
|
100% |
1081
80.7 IPS |
|
|
Object Detection (F16)
|
100% |
996
74.3 IPS |
|
|
Object Detection (I8)
|
60% |
1133
84.6 IPS |
|
|
Face Detection (F32)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (I8)
|
87% |
2578
30.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3645
28.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3787
29.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
6316
49.0 IPS |
|
|
Style Transfer (F32)
|
100% |
6999
9.21 IPS |
|
|
Style Transfer (F16)
|
100% |
7911
10.4 IPS |
|
|
Style Transfer (I8)
|
85% |
10097
13.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1571
56.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1510
53.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1983
70.8 IPS |
|
|
Text Classification (F32)
|
100% |
1315
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1111
1.60 KIPS |
|
|
Text Classification (I8)
|
94% |
324
465.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1237
22.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1501
27.6 IPS |
