HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2733
Single Precision Score
8471
Half Precision Score
13790
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:37 PM |
| Views | 11 |
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% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
6139
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9156
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3162
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3557
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
30865
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
68195
79.9 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
100% |
4698
372.6 IPS |
|
|
Object Detection (Q)
|
88% |
9464
758.7 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
14185
168.5 IPS |
|
|
Face Detection (Q)
|
100% |
29407
349.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4161
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12813
98.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
25513
198.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10291
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39906
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
75877
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14850
548.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29509
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1988
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2683
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3961
68.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3987
68.7 IPS |
