| Upload Date | November 06 2025 10:40 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3803
707.3 IPS |
|
|
Image Classification (HP)
|
100% |
732
136.1 IPS |
|
|
Image Classification (Q)
|
99% |
7670
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11048
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7429
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
21655
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
7067
568.0 IPS |
|
|
Face Detection (SP)
|
100% |
8456
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
10845
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10398
80.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2795
21.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17535
139.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19368
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14179
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18951
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2939
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3795
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3487
70.1 IPS |