| User | rizzalli |
| Upload Date | September 22 2025 07:59 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4138
769.6 IPS |
|
|
Image Classification (HP)
|
100% |
5603
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
2700
502.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6842
110.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14222
230.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4921
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20777
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
104992
122.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
17324
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (HP)
|
100% |
8336
661.2 IPS |
|
|
Object Detection (Q)
|
88% |
4027
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
9994
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
17212
204.5 IPS |
|
|
Face Detection (Q)
|
97% |
6697
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19806
152.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41338
318.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13052
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50287
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
185579
238.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37642
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9865
364.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15009
554.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5612
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (Q)
|
97% |
729
976.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1252
23.5 IPS |