HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2493
Single Precision Score
2533
Half Precision Score
6102
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:16 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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
1604
298.3 IPS |
|
|
Image Classification (Q)
|
100% |
4997
929.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4867
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
9405
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (Q)
|
88% |
3423
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
9129
108.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3395
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3485
26.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9441
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8110
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8441
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26462
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5906
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3303
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2055
35.4 IPS |
