| Upload Date | October 26 2025 03:44 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760 Pro RS/D4 WiFi |
| Motherboard | ASRock B760 Pro RS/D4 WiFi |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7246
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
12129
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
5124
953.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
14247
231.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21749
352.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10387
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102399
119.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
293332
342.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
82467
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
9575
759.5 IPS |
|
|
Object Detection (HP)
|
100% |
14679
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
6603
531.5 IPS |
|
|
Face Detection (SP)
|
100% |
20501
243.6 IPS |
|
|
Face Detection (HP)
|
100% |
31244
371.2 IPS |
|
|
Face Detection (Q)
|
97% |
15479
184.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43937
338.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81900
631.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
28872
231.3 IPS |
|
|
Style Transfer (SP)
|
100% |
164493
211.5 IPS |
|
|
Style Transfer (HP)
|
100% |
394290
506.9 IPS |
|
|
Style Transfer (Q)
|
98% |
127456
164.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29595
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37720
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16845
623.8 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2822
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1293
24.2 IPS |