HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2712
Single Precision Score
8419
Half Precision Score
13844
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:30 PM |
| Views | 10 |
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% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
6126
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9388
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3145
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
30846
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68245
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
4905
389.0 IPS |
|
|
Object Detection (Q)
|
88% |
9380
752.0 IPS |
|
|
Face Detection (SP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
13973
166.0 IPS |
|
|
Face Detection (Q)
|
100% |
29603
351.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3880
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12209
94.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
25095
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9706
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39347
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
75223
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14830
547.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29730
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2000
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4120
71.0 IPS |
