| User | mod47971 |
| Upload Date | February 18 2025 11:31 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6195
1.15 KIPS |
|
|
Image Classification (HP)
|
99% |
10067
1.88 KIPS |
|
|
Image Classification (Q)
|
99% |
4738
883.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8825
143.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12822
207.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7223
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70702
82.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
183111
213.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58400
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
7328
581.3 IPS |
|
|
Object Detection (HP)
|
100% |
12420
985.2 IPS |
|
|
Object Detection (Q)
|
84% |
5730
462.1 IPS |
|
|
Face Detection (SP)
|
100% |
15691
186.4 IPS |
|
|
Face Detection (HP)
|
100% |
22450
266.8 IPS |
|
|
Face Detection (Q)
|
97% |
12412
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35234
271.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66153
511.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
24166
193.4 IPS |
|
|
Style Transfer (SP)
|
100% |
118020
151.7 IPS |
|
|
Style Transfer (HP)
|
100% |
298463
383.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95420
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21605
797.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35463
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13840
512.5 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1353
25.4 IPS |