HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2682
Single Precision Score
2612
Half Precision Score
6994
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:04 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% |
1504
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (Q)
|
100% |
4855
902.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4660
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3338
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
11602
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.3 IPS |
|
|
Object Detection (Q)
|
88% |
4454
357.1 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (Q)
|
100% |
9665
114.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3889
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3968
30.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11845
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9423
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35407
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1904
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6279
232.5 IPS |
|
|
Text Classification (SP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3623
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2601
44.8 IPS |
