HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4569
Single Precision Score
7841
Half Precision Score
12836
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3113
578.9 IPS |
|
|
Image Classification (HP)
|
100% |
5467
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7335
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9643
156.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11726
13.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10908
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
38560
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
2783
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
5125
406.5 IPS |
|
|
Object Detection (Q)
|
88% |
9000
721.2 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
10308
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
19058
226.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9922
76.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
18068
139.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24935
193.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25860
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37003
47.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90018
116.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4522
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8150
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14545
538.7 IPS |
|
|
Text Classification (SP)
|
71% |
1489
2.15 KIPS |
|
|
Text Classification (HP)
|
71% |
2621
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2495
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2139
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3121
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3187
55.1 IPS |
