HP HP EliteBook X Flip G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3246
Single Precision Score
22159
Half Precision Score
33743
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:57 PM |
| Views | 3 |
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 X Flip G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| 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% |
1961
364.6 IPS |
|
|
Image Classification (HP)
|
100% |
11481
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
17444
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15575
252.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29167
472.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
102965
120.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
206700
242.1 IPS |
|
|
Object Detection (SP)
|
100% |
1890
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
15971
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
22066
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
5735
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
27411
325.7 IPS |
|
|
Face Detection (Q)
|
100% |
56671
673.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4821
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68694
529.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
110571
860.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10338
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
207802
267.1 IPS |
|
|
Style Transfer (Q)
|
98% |
285973
368.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24001
886.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
56805
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2118
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3825
65.9 IPS |
