| User | z1phos |
| Upload Date | May 03 2025 01:49 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
788
146.5 IPS |
|
|
Image Classification (HP)
|
100% |
1464
272.2 IPS |
|
|
Image Classification (Q)
|
99% |
736
137.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1927
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19363
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11065
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16293
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
1865
147.9 IPS |
|
|
Object Detection (Q)
|
83% |
1028
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2260
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
2012
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7476
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7046
54.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6006
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33533
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20590
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27163
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6432
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5227
193.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4307
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (Q)
|
97% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2136
36.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2129
36.8 IPS |
|
|
Machine Translation (Q)
|
70% |
961
18.0 IPS |