DELNB17 HP HP ProBook 4 G1i 16 inch Notebook AI PC
Geekbench AI Score
4595
Single Precision Score
1782
Half Precision Score
7762
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | August 06 2025 02:01 PM |
| Views | 7 |
| Notes | HP HP ProBook 4 G1i 16 inch Notebook AI PC |
System Information
| 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 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% |
3559
661.9 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
99% |
7889
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3667
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7930
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5577
6.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
25937
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3360
266.5 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
7977
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
8816
104.8 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10209
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10079
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2444
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16276
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17863
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12517
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25591
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3331
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2458
90.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1652
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3912
78.6 IPS |
