HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2726
Single Precision Score
2663
Half Precision Score
7022
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ruiaf27 |
| Upload Date | February 09 2026 09:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| 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% |
1497
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.4 IPS |
|
|
Image Classification (Q)
|
100% |
5126
953.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4360
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3565
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3120
3.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
12508
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (Q)
|
88% |
4730
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
10305
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3996
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3820
29.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11793
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9328
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10065
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34377
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7348
272.1 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1734
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3284
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2187
37.7 IPS |
