HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2693
Single Precision Score
2651
Half Precision Score
6935
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:47 PM |
| Views | 10 |
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% |
1575
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1448
269.2 IPS |
|
|
Image Classification (Q)
|
100% |
5244
975.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4448
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
12449
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
1403
111.2 IPS |
|
|
Object Detection (Q)
|
88% |
4478
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (Q)
|
100% |
9519
113.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3987
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4075
31.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10800
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9699
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9703
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33272
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7439
275.5 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3528
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2612
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2205
38.0 IPS |
