| User | ChrissoChrisso |
| Upload Date | June 03 2025 12:22 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 7 Laptop 16-ay0xxx |
| Motherboard | HP 8E13 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5715
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
10880
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5152
960.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10409
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15569
252.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9346
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
51145
59.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
178415
208.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46841
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6934
550.0 IPS |
|
|
Object Detection (HP)
|
100% |
12756
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
6189
499.2 IPS |
|
|
Face Detection (SP)
|
100% |
15787
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
30375
360.9 IPS |
|
|
Face Detection (Q)
|
97% |
14023
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29342
226.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64085
493.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24486
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
101416
130.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260912
335.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84551
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21856
807.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36596
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15469
572.8 IPS |
|
|
Text Classification (SP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1753
32.9 IPS |