HP HP Laptop 15-fd1xxx
Geekbench AI Score
2303
Single Precision Score
5204
Half Precision Score
8030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:32 PM |
| Views | 2 |
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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
4004
744.7 IPS |
|
|
Image Classification (Q)
|
100% |
5238
974.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3641
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
21417
25.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
44660
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
1161
92.1 IPS |
|
|
Object Detection (HP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (Q)
|
89% |
5601
448.6 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
8138
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
15966
189.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3412
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10521
81.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
21482
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10758
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33635
43.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59215
76.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8046
297.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12581
465.9 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1819
31.3 IPS |
