| Upload Date | August 11 2024 07:31 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4763
885.9 IPS |
|
|
Image Classification (HP)
|
100% |
4922
915.4 IPS |
|
|
Image Classification (Q)
|
100% |
3672
682.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7084
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5808
94.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5994
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
64246
75.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
103733
121.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
54610
64.0 IPS |
|
|
Object Detection (SP)
|
100% |
4120
326.8 IPS |
|
|
Object Detection (HP)
|
100% |
4417
350.3 IPS |
|
|
Object Detection (Q)
|
89% |
3587
287.1 IPS |
|
|
Face Detection (SP)
|
100% |
12328
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
15061
179.0 IPS |
|
|
Face Detection (Q)
|
97% |
9507
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25592
197.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29341
226.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
19940
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
124312
159.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151674
195.0 IPS |
|
|
Style Transfer (Q)
|
98% |
101859
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20264
748.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24863
918.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12960
479.9 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1136
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1000
22.3 IPS |