HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2553
Single Precision Score
1100
Half Precision Score
5384
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 06:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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-NonPeak-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% |
2172
403.9 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
4883
910.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5995
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3781
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
13698
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
4199
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
6856
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4856
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11362
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9136
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5749
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
15074
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3983
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
689
919.1 IPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2243
45.1 IPS |
