HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2786
Single Precision Score
9262
Half Precision Score
14540
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:39 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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
6457
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
9453
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3700
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3671
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
31884
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
70599
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
100% |
5706
452.6 IPS |
|
|
Object Detection (Q)
|
87% |
9636
773.4 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
15056
178.9 IPS |
|
|
Face Detection (Q)
|
100% |
27319
324.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4207
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18588
143.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34794
270.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9286
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51347
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
93747
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13384
494.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24763
917.1 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (Q)
|
92% |
1955
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4117
70.9 IPS |
