| User | noderaser |
| Upload Date | January 18 2025 04:36 AM |
| Views | 35 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7850 |
| Motherboard | MSI Z87-G41 PC Mate(MS-7850) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.8 IPS |
|
|
Image Classification (Q)
|
100% |
2155
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34643
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
37732
44.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30408
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2880
228.4 IPS |
|
|
Object Detection (HP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (Q)
|
88% |
2404
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (HP)
|
100% |
9504
112.9 IPS |
|
|
Face Detection (Q)
|
97% |
5847
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15818
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17763
137.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
11471
92.0 IPS |
|
|
Style Transfer (SP)
|
100% |
65140
83.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71122
91.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49912
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9011
332.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9113
336.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5903
218.6 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
643
862.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1187
20.5 IPS |
|
|
Machine Translation (Q)
|
70% |
703
13.2 IPS |