| User | carefree_boy |
| Upload Date | November 26 2024 04:22 PM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.8 IPS |
|
|
Image Classification (Q)
|
99% |
1090
203.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1351
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12148
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23146
27.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
10231
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (Q)
|
89% |
1069
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
2299
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10902
84.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
5282
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23419
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37954
48.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18322
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3344
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (Q)
|
60% |
677
15.3 IPS |