| User | mvarney |
| Upload Date | August 23 2024 06:00 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5102
948.8 IPS |
|
|
Image Classification (HP)
|
100% |
6039
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
3952
734.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7358
119.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7778
126.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6220
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
86260
100.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
137854
160.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
70297
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
6227
494.0 IPS |
|
|
Object Detection (HP)
|
100% |
6582
522.1 IPS |
|
|
Object Detection (Q)
|
89% |
5026
402.5 IPS |
|
|
Face Detection (SP)
|
100% |
16107
191.4 IPS |
|
|
Face Detection (HP)
|
100% |
18873
224.3 IPS |
|
|
Face Detection (Q)
|
97% |
12116
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33653
259.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39460
304.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
23241
191.4 IPS |
|
|
Style Transfer (SP)
|
100% |
168758
216.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236720
304.3 IPS |
|
|
Style Transfer (Q)
|
98% |
129836
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22494
830.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25787
952.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14145
523.8 IPS |
|
|
Text Classification (SP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2697
46.5 IPS |
|
|
Machine Translation (Q)
|
60% |
986
22.2 IPS |