HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2681
Single Precision Score
8522
Half Precision Score
13585
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (HP)
|
100% |
6123
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9773
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
30874
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
65952
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
100% |
5152
408.6 IPS |
|
|
Object Detection (Q)
|
88% |
8961
718.4 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
14264
169.5 IPS |
|
|
Face Detection (Q)
|
100% |
28112
334.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4113
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12721
98.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23786
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10402
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39269
50.5 IPS |
|
|
Style Transfer (Q)
|
98% |
74121
95.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14847
548.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29069
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1963
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2074
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4012
69.1 IPS |
