HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2770
Single Precision Score
8564
Half Precision Score
13777
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:26 PM |
| Views | 9 |
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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
9052
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3154
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3651
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
30849
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68454
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
5178
410.8 IPS |
|
|
Object Detection (Q)
|
88% |
9444
757.1 IPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
14548
172.9 IPS |
|
|
Face Detection (Q)
|
100% |
29344
348.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4140
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12877
99.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
25533
198.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9765
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39760
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
75194
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14960
552.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29278
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1964
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4122
71.0 IPS |
