HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2661
Single Precision Score
1191
Half Precision Score
5928
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 03:00 PM |
| Views | 12 |
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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
5083
948.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6598
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4068
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2298
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
15386
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
4648
373.6 IPS |
|
|
Face Detection (SP)
|
100% |
4168
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
7955
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5529
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1677
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12181
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9622
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6416
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
14711
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2397
48.2 IPS |
