HP HP Laptop 15-fd1xxx
Geekbench AI Score
2195
Single Precision Score
830
Half Precision Score
4308
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 05:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Laptop 15-fd1xxx |
| Motherboard | HP 8CAC |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
99% |
4363
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
5291
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3820
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1541
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
15898
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
4395
353.2 IPS |
|
|
Face Detection (SP)
|
100% |
6294
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
6510
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5386
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1424
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7307
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6879
8.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3825
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
11374
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2741
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.1 IPS |
|
|
Text Classification (Q)
|
97% |
967
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
65% |
953
19.1 IPS |
