HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2677
Single Precision Score
1150
Half Precision Score
5717
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:04 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
99% |
5182
966.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6672
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
15103
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
4679
376.0 IPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
7381
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5527
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1501
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11848
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6252
8.04 IPS |
|
|
Style Transfer (Q)
|
98% |
14205
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3913
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2294
46.1 IPS |
