HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2396
Single Precision Score
1061
Half Precision Score
4379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 10:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225U |
| 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 | HP - Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.6 IPS |
|
|
Image Classification (Q)
|
99% |
3773
703.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3705
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3710
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
13548
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
86% |
3487
280.3 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
6578
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4753
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10461
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8874
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5854
7.53 IPS |
|
|
Style Transfer (Q)
|
98% |
15751
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4112
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.9 IPS |
|
|
Text Classification (Q)
|
97% |
448
599.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1969
39.6 IPS |
