HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
11050
Single Precision Score
25215
Half Precision Score
27080
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 01:23 PM |
| 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 Enterprise (64-bit) |
| Model | HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | Hchstleistung |
| 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% |
7432
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
12664
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
14984
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9829
159.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25185
408.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29740
482.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23269
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
136119
158.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
262506
307.3 IPS |
|
|
Object Detection (SP)
|
100% |
6780
537.8 IPS |
|
|
Object Detection (HP)
|
100% |
13728
1.09 KIPS |
|
|
Object Detection (Q)
|
88% |
12499
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
14239
169.2 IPS |
|
|
Face Detection (HP)
|
100% |
29621
352.0 IPS |
|
|
Face Detection (Q)
|
100% |
36605
434.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24809
191.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51793
399.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
58687
456.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52651
67.7 IPS |
|
|
Style Transfer (HP)
|
100% |
159150
204.6 IPS |
|
|
Style Transfer (Q)
|
98% |
164242
211.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9898
365.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26184
966.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26141
968.1 IPS |
|
|
Text Classification (SP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
92% |
2745
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5706
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5731
98.7 IPS |
