HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2500
Single Precision Score
2416
Half Precision Score
5969
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:08 AM |
| Views | 2 |
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% |
1624
302.1 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.0 IPS |
|
|
Image Classification (Q)
|
100% |
5273
980.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4903
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
9817
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
88% |
3235
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
7816
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3391
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3488
26.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9665
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8433
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8459
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29142
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6171
228.5 IPS |
|
|
Text Classification (SP)
|
100% |
1772
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
3399
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1515
26.1 IPS |
