HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4575
Single Precision Score
7870
Half Precision Score
12841
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3292
612.2 IPS |
|
|
Image Classification (HP)
|
100% |
5504
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
7411
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6342
102.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9816
159.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10767
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10726
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
38269
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
5153
408.8 IPS |
|
|
Object Detection (Q)
|
88% |
8819
706.8 IPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
9749
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
18582
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9728
75.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18655
144.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24777
192.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26643
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37243
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
89934
116.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4546
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8225
303.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14906
552.0 IPS |
|
|
Text Classification (SP)
|
71% |
1546
2.24 KIPS |
|
|
Text Classification (HP)
|
71% |
2664
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2541
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3186
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3168
54.7 IPS |
