HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4541
Single Precision Score
7852
Half Precision Score
12678
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:14 PM |
| Views | 7 |
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% |
3110
578.3 IPS |
|
|
Image Classification (HP)
|
100% |
5160
959.7 IPS |
|
|
Image Classification (Q)
|
100% |
7266
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6427
104.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9694
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10710
12.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10959
12.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
38017
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
2915
231.2 IPS |
|
|
Object Detection (HP)
|
100% |
5268
417.8 IPS |
|
|
Object Detection (Q)
|
88% |
8736
700.1 IPS |
|
|
Face Detection (SP)
|
100% |
4532
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
10092
119.9 IPS |
|
|
Face Detection (Q)
|
100% |
19169
227.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10377
79.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19238
148.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
24525
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26547
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37526
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
89271
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8265
305.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14514
537.5 IPS |
|
|
Text Classification (SP)
|
71% |
1455
2.10 KIPS |
|
|
Text Classification (HP)
|
71% |
2593
3.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2980
51.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
