HP HP ProBook 4 G1i 16 inch Notebook AI PC
Geekbench AI Score
1971
Single Precision Score
889
Half Precision Score
4190
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 01:05 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
99% |
3266
609.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
4749
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
11896
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (Q)
|
86% |
3598
289.1 IPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5515
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3833
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
9156
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7407
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5175
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
12687
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3331
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
553
737.7 IPS |
|
|
Text Classification (Q)
|
97% |
931
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1266
25.4 IPS |
