| User | Zztony |
| Upload Date | April 15 2025 10:34 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
100% |
2536
471.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3416
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3103
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
61610
71.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83772
97.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
49798
58.3 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.8 IPS |
|
|
Object Detection (HP)
|
100% |
3451
273.7 IPS |
|
|
Object Detection (Q)
|
88% |
2882
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
9638
114.5 IPS |
|
|
Face Detection (Q)
|
97% |
7454
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21576
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25158
193.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
16191
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102765
132.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138727
178.3 IPS |
|
|
Style Transfer (Q)
|
98% |
83714
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11831
436.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13789
509.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8487
314.3 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
518
694.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
70% |
571
10.7 IPS |