HP HP Laptop 15-fd1xxx
Geekbench AI Score
1411
Single Precision Score
4033
Half Precision Score
6048
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 12:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Laptop 15-fd1xxx |
| Motherboard | HP 8CAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (HP)
|
100% |
2843
528.8 IPS |
|
|
Image Classification (Q)
|
100% |
3602
669.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1814
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2295
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
19392
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
40550
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
100% |
2174
172.4 IPS |
|
|
Object Detection (Q)
|
89% |
4186
335.2 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
10732
127.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1990
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8546
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
15604
121.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6695
8.61 IPS |
|
|
Style Transfer (HP)
|
100% |
26704
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48334
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10874
402.7 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.0 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.7 IPS |
|
|
Text Classification (Q)
|
92% |
544
731.4 IPS |
|
|
Machine Translation (SP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1234
21.3 IPS |
