| User | fenom |
| Upload Date | October 06 2025 04:29 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H87M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. H87M-D3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.4 IPS |
|
|
Image Classification (Q)
|
99% |
761
141.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1951
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22528
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12686
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18494
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
1916
151.9 IPS |
|
|
Object Detection (Q)
|
83% |
1053
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2263
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3404
40.5 IPS |
|
|
Face Detection (Q)
|
97% |
2034
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7803
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7302
56.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6258
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37766
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23155
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29742
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7610
281.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5640
208.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
802
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2309
39.9 IPS |
|
|
Machine Translation (Q)
|
70% |
982
18.4 IPS |