Upload Date | August 25 2024 05:46 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited F7BSC |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
Power Plan | Ausbalanciert |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7940HS |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
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 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon 780M Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2982
557.9 IPS |
|
Image Classification (F16)
|
100% |
2975
556.7 IPS |
|
Image Classification (I8)
|
100% |
2382
445.8 IPS |
|
Image Segmentation (F32)
|
100% |
2772
46.3 IPS |
|
Image Segmentation (F16)
|
100% |
2838
47.4 IPS |
|
Image Segmentation (I8)
|
98% |
2368
39.5 IPS |
|
Pose Estimation (F32)
|
100% |
39275
47.6 IPS |
|
Pose Estimation (F16)
|
100% |
37928
45.9 IPS |
|
Pose Estimation (I8)
|
100% |
28148
34.1 IPS |
|
Object Detection (F32)
|
100% |
2139
159.7 IPS |
|
Object Detection (F16)
|
100% |
2139
159.7 IPS |
|
Object Detection (I8)
|
62% |
1940
144.9 IPS |
|
Face Detection (F32)
|
100% |
5107
60.7 IPS |
|
Face Detection (F16)
|
100% |
5056
60.1 IPS |
|
Face Detection (I8)
|
89% |
4164
49.5 IPS |
|
Depth Estimation (F32)
|
100% |
17130
132.8 IPS |
|
Depth Estimation (F16)
|
100% |
17663
137.0 IPS |
|
Depth Estimation (I8)
|
95% |
12795
99.2 IPS |
|
Style Transfer (F32)
|
100% |
33382
43.9 IPS |
|
Style Transfer (F16)
|
100% |
33210
43.7 IPS |
|
Style Transfer (I8)
|
98% |
28674
37.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
6102
217.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
6041
215.8 IPS |
|
Image Super-Resolution (I8)
|
99% |
4680
167.1 IPS |
|
Text Classification (F32)
|
100% |
1841
2.65 KIPS |
|
Text Classification (F16)
|
100% |
1782
2.56 KIPS |
|
Text Classification (I8)
|
98% |
1499
2.15 KIPS |
|
Machine Translation (F32)
|
100% |
2851
52.5 IPS |
|
Machine Translation (F16)
|
100% |
2847
52.4 IPS |
|
Machine Translation (I8)
|
70% |
1662
30.6 IPS |