| User | terapeut |
| Upload Date | May 07 2025 04:04 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9204
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
15887
2.96 KIPS |
|
|
Image Classification (Q)
|
100% |
8779
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15648
253.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18638
302.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14168
230.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
174049
203.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
406813
474.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
151873
177.9 IPS |
|
|
Object Detection (SP)
|
100% |
12543
994.9 IPS |
|
|
Object Detection (HP)
|
100% |
16771
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
10770
866.3 IPS |
|
|
Face Detection (SP)
|
100% |
34853
414.1 IPS |
|
|
Face Detection (HP)
|
100% |
43251
513.9 IPS |
|
|
Face Detection (Q)
|
97% |
30811
367.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70440
542.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113662
878.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
52300
418.1 IPS |
|
|
Style Transfer (SP)
|
100% |
313795
403.4 IPS |
|
|
Style Transfer (HP)
|
100% |
664451
854.2 IPS |
|
|
Style Transfer (Q)
|
98% |
278634
359.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41030
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50808
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29964
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2096
39.3 IPS |