HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
4537
Single Precision Score
6427
Half Precision Score
3058
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 06:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2624
488.1 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.4 IPS |
|
|
Image Classification (Q)
|
99% |
1978
369.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5589
90.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2319
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16619
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7997
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
4422
350.7 IPS |
|
|
Object Detection (Q)
|
86% |
2020
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
6006
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
9133
108.5 IPS |
|
|
Face Detection (Q)
|
97% |
3823
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9149
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15276
118.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6859
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24553
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40635
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19409
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4667
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7496
276.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3139
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
705
940.8 IPS |
|
|
Text Classification (Q)
|
97% |
665
890.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2488
43.0 IPS |
|
|
Machine Translation (Q)
|
70% |
910
17.1 IPS |
