HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4507
Single Precision Score
7876
Half Precision Score
12621
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3272
608.4 IPS |
|
|
Image Classification (HP)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
7348
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6118
99.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9500
154.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10766
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10621
12.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38452
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.7 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.8 IPS |
|
|
Object Detection (Q)
|
88% |
8550
685.2 IPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
9493
112.8 IPS |
|
|
Face Detection (Q)
|
100% |
17431
207.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10242
78.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
19189
148.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24157
187.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26585
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37294
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88016
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8542
315.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14790
547.7 IPS |
|
|
Text Classification (SP)
|
71% |
1514
2.19 KIPS |
|
|
Text Classification (HP)
|
71% |
2638
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2544
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2157
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3163
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3206
55.4 IPS |
