HP HP ProBook 4 G1i 16 inch Notebook AI PC
Geekbench AI Score
2036
Single Precision Score
866
Half Precision Score
4322
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 01:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
3609
673.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
5041
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1759
2.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
9986
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
3327
267.4 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
6081
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4249
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1226
9.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
10161
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7587
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
5030
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
13578
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2789
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1692
34.0 IPS |
