HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2677
Single Precision Score
9266
Half Precision Score
14555
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
6423
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
9503
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3592
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
31510
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
70260
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
5766
457.4 IPS |
|
|
Object Detection (Q)
|
87% |
9431
756.9 IPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
15581
185.1 IPS |
|
|
Face Detection (Q)
|
100% |
27572
327.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3965
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18635
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34861
271.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50215
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
94047
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1852
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13587
501.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24887
921.7 IPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1964
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3875
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4115
70.9 IPS |
