| User | paisarn |
| Upload Date | October 22 2025 06:40 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (HP)
|
99% |
14136
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
7413
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13438
217.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17813
288.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12310
200.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
109206
127.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
336198
392.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
96800
113.4 IPS |
|
|
Object Detection (SP)
|
100% |
9772
775.1 IPS |
|
|
Object Detection (HP)
|
100% |
16252
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
8501
684.4 IPS |
|
|
Face Detection (SP)
|
100% |
23639
280.9 IPS |
|
|
Face Detection (HP)
|
100% |
37678
447.7 IPS |
|
|
Face Detection (Q)
|
97% |
21198
252.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
41104
316.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90191
694.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36642
293.4 IPS |
|
|
Style Transfer (SP)
|
100% |
191239
245.8 IPS |
|
|
Style Transfer (HP)
|
100% |
459219
590.3 IPS |
|
|
Style Transfer (Q)
|
98% |
172243
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32333
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48647
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24025
889.6 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4316
5.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1823
34.2 IPS |