HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
11011
Single Precision Score
26227
Half Precision Score
28617
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:44 AM |
| Views | 4 |
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 | Bilanciato |
| 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% |
7499
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
13742
2.56 KIPS |
|
|
Image Classification (Q)
|
100% |
17192
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9876
160.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24934
404.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29867
484.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23224
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
134196
156.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
262704
307.6 IPS |
|
|
Object Detection (SP)
|
100% |
6790
538.6 IPS |
|
|
Object Detection (HP)
|
100% |
14745
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
15277
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
13988
166.2 IPS |
|
|
Face Detection (HP)
|
100% |
30135
358.1 IPS |
|
|
Face Detection (Q)
|
100% |
36576
434.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24500
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60807
468.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
66587
517.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52286
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
158137
203.3 IPS |
|
|
Style Transfer (Q)
|
98% |
166390
214.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10027
370.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28671
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28924
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3825
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4834
6.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2731
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5656
97.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5585
96.2 IPS |
