HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2529
Single Precision Score
2509
Half Precision Score
6454
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:57 PM |
| Views | 9 |
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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
1578
293.5 IPS |
|
|
Image Classification (Q)
|
100% |
5162
960.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4666
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
12626
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (Q)
|
88% |
4139
331.8 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
9969
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3792
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3857
29.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
8762
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8489
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9134
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33347
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6102
226.0 IPS |
|
|
Text Classification (SP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2825
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1986
34.2 IPS |
