| User | paultissue |
| Upload Date | September 04 2025 12:14 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81LL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
2383
443.2 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
99% |
2062
384.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3787
61.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3232
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25074
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16702
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
21249
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.1 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (Q)
|
83% |
2809
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
6209
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (Q)
|
97% |
5330
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15405
118.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12044
92.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11567
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47264
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32855
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38238
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8349
308.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7459
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5686
210.6 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
743
995.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1966
33.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1978
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
951
17.8 IPS |