HP HP Laptop 15-fd1xxx
Geekbench AI Score
399
Single Precision Score
244
Half Precision Score
817
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 12:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
99% |
474
88.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
786
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
2119
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.49 IPS |
|
|
Object Detection (Q)
|
86% |
529
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
673
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
1404
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1931
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1308
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
3185
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
250
334.3 IPS |
|
|
Text Classification (HP)
|
100% |
76
101.9 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.5 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
65% |
406
8.15 IPS |
