| Upload Date | November 14 2025 11:19 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ENVY TE01-3xxx |
| Motherboard | HP 89B5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7189
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
14443
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
6431
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13645
221.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20906
338.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12615
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
95931
111.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
299774
349.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
80447
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
10033
795.8 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
83% |
8651
699.0 IPS |
|
|
Face Detection (SP)
|
100% |
25377
301.5 IPS |
|
|
Face Detection (HP)
|
100% |
41748
496.1 IPS |
|
|
Face Detection (Q)
|
97% |
21510
256.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46316
356.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95345
734.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
37501
299.8 IPS |
|
|
Style Transfer (SP)
|
100% |
146090
187.8 IPS |
|
|
Style Transfer (HP)
|
100% |
502782
646.3 IPS |
|
|
Style Transfer (Q)
|
98% |
122463
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25851
954.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48068
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20462
757.7 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1945
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4684
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4866
83.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1924
36.1 IPS |