HP HP EliteBook Ultra G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3127
Single Precision Score
22665
Half Precision Score
35055
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 10:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook Ultra G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8CE0 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1882
350.1 IPS |
|
|
Image Classification (HP)
|
100% |
12882
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
18186
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16098
261.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29061
471.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3344
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
101793
118.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
202278
236.9 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
16440
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
22430
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
5493
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
26862
319.2 IPS |
|
|
Face Detection (Q)
|
100% |
68160
809.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4695
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
67864
522.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
109744
854.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9989
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203473
261.6 IPS |
|
|
Style Transfer (Q)
|
98% |
318571
410.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26315
971.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
54777
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
2320
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3860
66.5 IPS |
