DELNB17 HP HP ProBook 4 G1i 16 inch Notebook AI PC
Geekbench AI Score
5045
Single Precision Score
5270
Half Precision Score
12459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | August 06 2025 02:04 PM |
| Views | 10 |
| Notes | HP HP ProBook 4 G1i 16 inch Notebook AI PC |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 4 G1i 16 inch Notebook AI PC |
| Motherboard | HP 8DEA |
| Power Plan | HP Optimized (Modern Standby) |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3625
674.2 IPS |
|
|
Image Classification (HP)
|
100% |
3967
737.8 IPS |
|
|
Image Classification (Q)
|
100% |
9036
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8740
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7118
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
25349
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
3627
287.7 IPS |
|
|
Object Detection (Q)
|
88% |
9107
730.0 IPS |
|
|
Face Detection (SP)
|
100% |
8882
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
9504
112.9 IPS |
|
|
Face Detection (Q)
|
100% |
17986
213.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7691
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7729
59.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
20737
161.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18448
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18411
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
70365
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3303
122.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13223
489.7 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5242
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3001
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2718
46.8 IPS |
