HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
4508
Single Precision Score
6408
Half Precision Score
3078
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 06:58 AM |
| Views | 4 |
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% |
2589
481.5 IPS |
|
|
Image Classification (HP)
|
100% |
3894
724.1 IPS |
|
|
Image Classification (Q)
|
99% |
1993
371.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5508
89.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2313
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8997
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16859
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7896
9.25 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.3 IPS |
|
|
Object Detection (HP)
|
100% |
4475
354.9 IPS |
|
|
Object Detection (Q)
|
86% |
2125
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
9237
109.8 IPS |
|
|
Face Detection (Q)
|
97% |
3840
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9152
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15195
117.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6773
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25267
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41046
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19892
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4519
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7393
273.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3074
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
700
933.9 IPS |
|
|
Text Classification (Q)
|
97% |
673
901.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2422
41.9 IPS |
|
|
Machine Translation (Q)
|
70% |
924
17.3 IPS |
