HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2703
Single Precision Score
2714
Half Precision Score
7132
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| 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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.4 IPS |
|
|
Image Classification (Q)
|
100% |
5228
972.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4669
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3423
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
11742
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (Q)
|
88% |
4578
367.0 IPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
10482
124.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3655
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4093
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12022
93.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9691
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10040
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34965
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1802
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6088
225.5 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3733
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2594
44.7 IPS |
