| User | gethen | 
| Upload Date | June 28 2025 04:29 AM | 
| Views | 10 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 5070 | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | ASRock B760M Pro-A WiFi | 
| Motherboard | ASRock B760M Pro-A WiFi | 
| Power Plan | High performance | 
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F | 
| Topology | 1 Processor, 10 Cores, 16 Threads | 
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 | 
| Base Frequency | 2.50 GHz | 
| Cluster 1 | 6 Cores | 
| Cluster 2 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
10010
 1.86 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
18636
 3.47 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
8986
 1.67 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
20266
 328.5 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
26860
 435.4 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
17276
 280.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
168693
 196.8 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
459284
 535.9 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
146361
 171.4 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
13675
 1.08 KIPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
21883
 1.74 KIPS  | 
|
| 
Object Detection (Q)
 | 
83% | 
11593
 936.7 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
37595
 446.7 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
54458
 647.1 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
32625
 389.0 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
67559
 520.5 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
119987
 924.4 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
53508
 427.1 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
231901
 298.1 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
740496
 951.9 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
198915
 256.5 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
37545
 1.39 KIPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
72887
 2.69 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
30972
 1.15 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
3871
 5.17 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
4502
 6.01 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
2325
 3.11 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
5560
 95.8 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
5935
 102.2 IPS  | 
|
| 
Machine Translation (Q)
 | 
70% | 
2749
 51.6 IPS  |