| User | restuff |
| Upload Date | October 14 2025 06:54 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (Q)
|
99% |
3379
630.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7249
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5964
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
41515
48.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
24818
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
36017
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
5256
416.9 IPS |
|
|
Object Detection (HP)
|
100% |
4854
385.0 IPS |
|
|
Object Detection (Q)
|
83% |
4038
326.2 IPS |
|
|
Face Detection (SP)
|
100% |
11028
131.0 IPS |
|
|
Face Detection (HP)
|
100% |
9349
111.1 IPS |
|
|
Face Detection (Q)
|
97% |
8844
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23574
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17533
135.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17483
139.5 IPS |
|
|
Style Transfer (SP)
|
100% |
71566
92.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49183
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60181
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14201
524.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11694
431.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9417
348.7 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3203
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1141
21.4 IPS |