AWOW Technology CO., Ltd. AMG10
Geekbench ML Score
2075
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 09:01 PM |
| Views | 2 |
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 | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
959
179.4 IPS |
|
|
Image Classification (F16)
|
100% |
959
179.5 IPS |
|
|
Image Classification (I8)
|
99% |
784
146.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1049
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1043
17.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7800
9.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
7754
9.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
6734
8.15 IPS |
|
|
Object Detection (F32)
|
100% |
970
72.4 IPS |
|
|
Object Detection (F16)
|
100% |
951
71.0 IPS |
|
|
Object Detection (I8)
|
67% |
838
62.5 IPS |
|
|
Face Detection (F32)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (F16)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (I8)
|
89% |
1798
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5040
39.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5061
39.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4074
31.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13752
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13761
18.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11624
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3304
118.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3381
120.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2336
83.4 IPS |
|
|
Text Classification (F32)
|
100% |
708
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
701
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
467
671.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1261
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1284
23.6 IPS |
|
|
Machine Translation (I8)
|
69% |
680
12.5 IPS |
