HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2545
Single Precision Score
2632
Half Precision Score
6702
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:00 PM |
| Views | 8 |
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% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (Q)
|
100% |
4769
886.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2920
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3021
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
11947
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (Q)
|
88% |
4524
362.6 IPS |
|
|
Face Detection (SP)
|
100% |
3884
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
10080
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3817
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3835
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10462
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8663
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9906
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30379
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6990
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3239
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2445
42.1 IPS |
