| User | PashPaw |
| Upload Date | September 20 2024 05:55 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5640
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8867
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
4108
764.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9169
148.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12343
200.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7421
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
70930
82.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
199947
233.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
59300
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
6582
522.1 IPS |
|
|
Object Detection (HP)
|
100% |
10471
830.6 IPS |
|
|
Object Detection (Q)
|
89% |
4721
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
15162
180.2 IPS |
|
|
Face Detection (HP)
|
100% |
22640
269.0 IPS |
|
|
Face Detection (Q)
|
97% |
11565
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33776
260.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
60431
465.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
22648
182.4 IPS |
|
|
Style Transfer (SP)
|
100% |
121078
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
280450
360.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100238
129.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23039
850.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33083
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13940
516.2 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2665
3.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1124
25.1 IPS |