Upload Date | October 07 2024 05:53 AM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro Computer (HK) Tech Limited MS-A1 |
Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd A5WSP |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 8700G |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
Base Frequency | 4.20 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 | DirectML |
Device | AMD Radeon 780M Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2518
471.2 IPS |
|
Image Classification (F16)
|
100% |
2179
407.7 IPS |
|
Image Classification (I8)
|
100% |
1932
361.5 IPS |
|
Image Segmentation (F32)
|
100% |
2802
46.8 IPS |
|
Image Segmentation (F16)
|
100% |
2776
46.4 IPS |
|
Image Segmentation (I8)
|
98% |
2335
39.0 IPS |
|
Pose Estimation (F32)
|
100% |
36584
44.3 IPS |
|
Pose Estimation (F16)
|
100% |
38740
46.9 IPS |
|
Pose Estimation (I8)
|
100% |
27233
33.0 IPS |
|
Object Detection (F32)
|
100% |
1793
133.8 IPS |
|
Object Detection (F16)
|
100% |
1797
134.2 IPS |
|
Object Detection (I8)
|
62% |
1748
130.5 IPS |
|
Face Detection (F32)
|
100% |
5034
59.9 IPS |
|
Face Detection (F16)
|
100% |
5052
60.1 IPS |
|
Face Detection (I8)
|
89% |
3891
46.3 IPS |
|
Depth Estimation (F32)
|
100% |
15503
120.2 IPS |
|
Depth Estimation (F16)
|
100% |
14847
115.1 IPS |
|
Depth Estimation (I8)
|
95% |
12792
99.2 IPS |
|
Style Transfer (F32)
|
100% |
31730
41.7 IPS |
|
Style Transfer (F16)
|
100% |
32125
42.3 IPS |
|
Style Transfer (I8)
|
98% |
27128
35.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
6190
221.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
5960
212.8 IPS |
|
Image Super-Resolution (I8)
|
99% |
4269
152.5 IPS |
|
Text Classification (F32)
|
100% |
1766
2.54 KIPS |
|
Text Classification (F16)
|
100% |
1744
2.51 KIPS |
|
Text Classification (I8)
|
98% |
1459
2.10 KIPS |
|
Machine Translation (F32)
|
100% |
2172
40.0 IPS |
|
Machine Translation (F16)
|
100% |
2149
39.6 IPS |
|
Machine Translation (I8)
|
70% |
1573
28.9 IPS |