DELNB17 HP HP ProBook 4 G1i 16 inch Notebook AI PC
Geekbench AI Score
5308
Single Precision Score
8916
Half Precision Score
13177
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | August 06 2025 02:08 PM |
| Views | 9 |
| Notes | HP HP ProBook 4 G1i 16 inch Notebook AI PC |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3695
687.1 IPS |
|
|
Image Classification (HP)
|
100% |
6497
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8157
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4119
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3682
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7227
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
33150
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
71275
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (HP)
|
100% |
5786
458.9 IPS |
|
|
Object Detection (Q)
|
87% |
9254
742.7 IPS |
|
|
Face Detection (SP)
|
100% |
9084
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
14005
166.4 IPS |
|
|
Face Detection (Q)
|
100% |
27185
323.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17839
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32537
253.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20501
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
47774
61.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91741
118.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13586
501.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20507
759.4 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1315
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3641
62.7 IPS |
