HP HP Laptop 15s-fq5xxx
Geekbench AI Score
1335
Single Precision Score
537
Half Precision Score
3200
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 05:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Laptop 15s-fq5xxx |
| Motherboard | HP 8A20 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
2935
547.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
3894
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1691
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
4668
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
86% |
2431
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (Q)
|
97% |
3570
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1949
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
716
5.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
6991
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4639
5.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2858
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
9203
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2488
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
947
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
395
527.0 IPS |
|
|
Text Classification (Q)
|
97% |
1046
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1456
29.3 IPS |
