HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4673
Single Precision Score
7990
Half Precision Score
13048
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 09:38 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP EliteBook 6 G1i 14 inch Notebook AI PC |
| Motherboard | HP 8DEB |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| 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% |
3283
610.5 IPS |
|
|
Image Classification (HP)
|
100% |
5702
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7512
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5993
97.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9410
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11464
13.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11199
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37978
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
5351
424.4 IPS |
|
|
Object Detection (Q)
|
88% |
9084
727.9 IPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
9526
113.2 IPS |
|
|
Face Detection (Q)
|
100% |
18145
215.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9728
74.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
17916
138.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
24345
189.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28983
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38814
49.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93022
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4943
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8533
315.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15610
578.1 IPS |
|
|
Text Classification (SP)
|
71% |
1556
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2778
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2768
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3301
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3305
57.1 IPS |
