| User | hrichl |
| Upload Date | May 09 2025 05:40 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9700 |
| Motherboard | Dell Inc. 0P1CHN |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4817
895.9 IPS |
|
|
Image Classification (HP)
|
100% |
6857
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
4836
899.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7085
114.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8205
133.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6673
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106760
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
266608
311.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
100536
117.8 IPS |
|
|
Object Detection (SP)
|
100% |
6343
503.1 IPS |
|
|
Object Detection (HP)
|
100% |
8166
647.7 IPS |
|
|
Object Detection (Q)
|
83% |
5629
454.8 IPS |
|
|
Face Detection (SP)
|
100% |
16056
190.8 IPS |
|
|
Face Detection (HP)
|
100% |
20055
238.3 IPS |
|
|
Face Detection (Q)
|
97% |
14799
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43829
337.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75178
579.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
35201
281.0 IPS |
|
|
Style Transfer (SP)
|
100% |
146293
188.1 IPS |
|
|
Style Transfer (HP)
|
100% |
367968
473.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129719
167.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23570
870.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36733
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18167
672.7 IPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1330
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1109
20.8 IPS |