HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2526
Single Precision Score
2483
Half Precision Score
6368
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:12 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.8 IPS |
|
|
Image Classification (Q)
|
100% |
5195
966.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4920
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3018
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
10180
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (HP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (Q)
|
88% |
3642
291.9 IPS |
|
|
Face Detection (SP)
|
100% |
4254
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
9404
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3459
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3534
27.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9706
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8582
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8582
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28865
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6471
239.6 IPS |
|
|
Text Classification (SP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3438
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1977
34.1 IPS |
