HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2700
Single Precision Score
9306
Half Precision Score
14510
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:41 AM |
| Views | 3 |
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% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
6591
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9424
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2243
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3739
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3465
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
31874
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
70200
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
5779
458.4 IPS |
|
|
Object Detection (Q)
|
87% |
9495
762.1 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
15294
181.7 IPS |
|
|
Face Detection (Q)
|
100% |
26518
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3827
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18592
143.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34825
271.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9621
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51021
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
94277
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13498
498.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24388
903.2 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1947
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4071
70.1 IPS |
