HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2827
Single Precision Score
8649
Half Precision Score
13804
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 09:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
6465
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
9551
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3303
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
31859
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
67143
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
5261
417.3 IPS |
|
|
Object Detection (Q)
|
88% |
9209
738.3 IPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
13451
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
28446
338.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13224
101.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
25040
194.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10075
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39947
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75853
97.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15102
557.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29614
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1978
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2598
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4071
70.1 IPS |
