HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
3510
Single Precision Score
5501
Half Precision Score
2366
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
3635
675.9 IPS |
|
|
Image Classification (Q)
|
99% |
1620
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4123
66.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1454
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10541
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5345
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
2048
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
4136
328.1 IPS |
|
|
Object Detection (Q)
|
86% |
1630
131.0 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (Q)
|
97% |
2246
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7563
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13583
105.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5675
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22075
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37552
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15796
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6746
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2593
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
1144
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
673
901.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2141
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |
