HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2417
Single Precision Score
2449
Half Precision Score
6326
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (Q)
|
100% |
4936
917.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2039
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4687
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2849
3.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
9484
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
88% |
3591
287.9 IPS |
|
|
Face Detection (SP)
|
100% |
4188
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
9034
107.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3454
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3426
26.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9152
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8218
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8411
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27956
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6342
234.9 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4101
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2170
37.4 IPS |
