| User | Chineezze |
| Upload Date | October 03 2025 03:10 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 8 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2952
549.0 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
99% |
6964
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9639
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5034
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
22918
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2769
219.6 IPS |
|
|
Object Detection (HP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (Q)
|
86% |
6741
541.7 IPS |
|
|
Face Detection (SP)
|
100% |
6714
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
9549
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2447
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16245
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15833
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12295
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20102
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3141
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2455
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6158
228.0 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3398
68.3 IPS |