HP HP EliteBook 6 G1i 14 inch Notebook AI PC
Geekbench AI Score
2673
Single Precision Score
2709
Half Precision Score
6970
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 18 2026 04:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (Q)
|
100% |
5220
970.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4700
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (Q)
|
88% |
4564
365.8 IPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
10362
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3959
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11701
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9571
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10064
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35256
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1631
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6317
233.9 IPS |
|
|
Text Classification (SP)
|
100% |
1704
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3232
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2298
39.6 IPS |
