User | ju83 |
Upload Date | September 12 2024 02:59 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Famille (64-bit) |
Model | Micro-Star International Co., Ltd MS-7B86 |
Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
Power Plan | conomie d'nergie |
CPU Information | |
---|---|
Name | AMD Ryzen 3 3200G |
Topology | 1 Processor, 4 Cores |
Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
Base Frequency | 3.60 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 64.0 KB x 4 |
L1 Data Cache | 32.0 KB x 4 |
L2 Cache | 512 KB x 4 |
L3 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 8.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon(TM) Vega 8 Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
733
137.2 IPS |
|
Image Classification (F16)
|
100% |
799
149.4 IPS |
|
Image Classification (I8)
|
99% |
690
129.1 IPS |
|
Image Segmentation (F32)
|
100% |
782
13.1 IPS |
|
Image Segmentation (F16)
|
100% |
770
12.9 IPS |
|
Image Segmentation (I8)
|
98% |
696
11.6 IPS |
|
Pose Estimation (F32)
|
100% |
8066
9.77 IPS |
|
Pose Estimation (F16)
|
100% |
8107
9.82 IPS |
|
Pose Estimation (I8)
|
100% |
6814
8.25 IPS |
|
Object Detection (F32)
|
100% |
717
53.5 IPS |
|
Object Detection (F16)
|
100% |
542
40.5 IPS |
|
Object Detection (I8)
|
67% |
671
50.1 IPS |
|
Face Detection (F32)
|
100% |
2028
24.1 IPS |
|
Face Detection (F16)
|
100% |
1926
22.9 IPS |
|
Face Detection (I8)
|
90% |
1402
16.7 IPS |
|
Depth Estimation (F32)
|
100% |
5012
38.9 IPS |
|
Depth Estimation (F16)
|
100% |
4219
32.7 IPS |
|
Depth Estimation (I8)
|
94% |
3913
30.3 IPS |
|
Style Transfer (F32)
|
100% |
9510
12.5 IPS |
|
Style Transfer (F16)
|
100% |
9339
12.3 IPS |
|
Style Transfer (I8)
|
98% |
8685
11.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
1192
42.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
1173
41.9 IPS |
|
Image Super-Resolution (I8)
|
99% |
985
35.2 IPS |
|
Text Classification (F32)
|
100% |
558
802.6 IPS |
|
Text Classification (F16)
|
100% |
463
665.5 IPS |
|
Text Classification (I8)
|
98% |
412
591.6 IPS |
|
Machine Translation (F32)
|
100% |
1007
18.5 IPS |
|
Machine Translation (F16)
|
100% |
932
17.2 IPS |
|
Machine Translation (I8)
|
69% |
524
9.65 IPS |