HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
4589
Single Precision Score
7859
Half Precision Score
12784
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:20 PM |
| Views | 9 |
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% |
3187
592.7 IPS |
|
|
Image Classification (HP)
|
100% |
5437
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7336
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6253
101.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9657
156.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11762
13.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10849
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
38167
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
5021
398.3 IPS |
|
|
Object Detection (Q)
|
88% |
8756
701.7 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
10082
119.8 IPS |
|
|
Face Detection (Q)
|
100% |
19043
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9744
75.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
18355
141.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24934
193.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26214
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37322
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89171
115.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8515
314.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14443
534.9 IPS |
|
|
Text Classification (SP)
|
71% |
1523
2.20 KIPS |
|
|
Text Classification (HP)
|
71% |
2633
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2492
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3233
55.9 IPS |
