User | ju83 |
Upload Date | February 16 2025 10:29 AM |
Views | 6 |
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 | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
142
26.6 IPS |
|
Image Classification (F16)
|
100% |
122
22.8 IPS |
|
Image Classification (I8)
|
97% |
193
36.1 IPS |
|
Image Segmentation (F32)
|
100% |
182
3.04 IPS |
|
Image Segmentation (F16)
|
100% |
171
2.86 IPS |
|
Image Segmentation (I8)
|
97% |
209
3.49 IPS |
|
Pose Estimation (F32)
|
100% |
611
0.74 IPS |
|
Pose Estimation (F16)
|
100% |
622
0.75 IPS |
|
Pose Estimation (I8)
|
100% |
706
0.85 IPS |
|
Object Detection (F32)
|
100% |
127
9.44 IPS |
|
Object Detection (F16)
|
100% |
139
10.3 IPS |
|
Object Detection (I8)
|
60% |
186
13.9 IPS |
|
Face Detection (F32)
|
100% |
364
4.32 IPS |
|
Face Detection (F16)
|
100% |
337
4.01 IPS |
|
Face Detection (I8)
|
87% |
482
5.73 IPS |
|
Depth Estimation (F32)
|
100% |
404
3.13 IPS |
|
Depth Estimation (F16)
|
100% |
466
3.61 IPS |
|
Depth Estimation (I8)
|
74% |
604
4.68 IPS |
|
Style Transfer (F32)
|
100% |
1413
1.86 IPS |
|
Style Transfer (F16)
|
100% |
1462
1.92 IPS |
|
Style Transfer (I8)
|
85% |
1487
1.96 IPS |
|
Image Super-Resolution (F32)
|
100% |
224
8.00 IPS |
|
Image Super-Resolution (F16)
|
100% |
236
8.42 IPS |
|
Image Super-Resolution (I8)
|
97% |
245
8.77 IPS |
|
Text Classification (F32)
|
100% |
277
398.6 IPS |
|
Text Classification (F16)
|
100% |
192
275.9 IPS |
|
Text Classification (I8)
|
94% |
87
124.3 IPS |
|
Machine Translation (F32)
|
100% |
212
3.91 IPS |
|
Machine Translation (F16)
|
100% |
248
4.56 IPS |
|
Machine Translation (I8)
|
67% |
303
5.58 IPS |