| User | restuff |
| Upload Date | October 15 2025 06:54 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. GL75 9SD |
| Motherboard | Micro-Star International Co., Ltd. MS-17E5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4272
794.4 IPS |
|
|
Image Classification (HP)
|
100% |
4009
745.6 IPS |
|
|
Image Classification (Q)
|
99% |
3468
646.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7149
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5900
95.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5894
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
41556
48.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24772
28.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36126
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
5263
417.4 IPS |
|
|
Object Detection (HP)
|
100% |
4694
372.3 IPS |
|
|
Object Detection (Q)
|
83% |
3971
320.8 IPS |
|
|
Face Detection (SP)
|
100% |
11489
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
8944
106.3 IPS |
|
|
Face Detection (Q)
|
97% |
9558
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23845
183.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17233
132.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17197
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
71607
92.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48353
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60382
77.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14740
544.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11037
407.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9216
341.2 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
998
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3129
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1082
20.3 IPS |