HP HP OmniBook Ultra Flip Laptop 14t-fh000
Geekbench AI Score
2243
Single Precision Score
1175
Half Precision Score
4275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14t-fh000 |
| Motherboard | HP 8CDE |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (Q)
|
99% |
3583
668.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2059
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2899
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2442
2.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
10694
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
3504
281.6 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
5789
69.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4035
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1740
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9089
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7294
9.38 IPS |
|
|
Style Transfer (HP)
|
100% |
6117
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
15164
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3113
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
623
831.3 IPS |
|
|
Text Classification (Q)
|
97% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2239
45.0 IPS |
