HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
10803
Single Precision Score
25387
Half Precision Score
27452
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 12:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | Ausbalanciert |
| 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% |
7414
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
13631
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
15913
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9765
158.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24817
402.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29701
481.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23287
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
132958
155.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
253525
296.8 IPS |
|
|
Object Detection (SP)
|
100% |
6359
504.4 IPS |
|
|
Object Detection (HP)
|
100% |
15154
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
13557
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
13997
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
29407
349.4 IPS |
|
|
Face Detection (Q)
|
100% |
36267
430.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25027
192.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58793
453.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
65365
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53071
68.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156741
201.5 IPS |
|
|
Style Transfer (Q)
|
98% |
162523
209.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9768
360.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25597
945.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27148
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2537
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5641
97.2 IPS |
