HP HP Laptop 14s-fq0xxx
Geekbench AI Score
1573
Single Precision Score
808
Half Precision Score
2125
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 14s-fq0xxx |
| Motherboard | HP 87B8 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
96% |
1684
314.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
2144
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
3754
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1167
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
1984
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.70 IPS |
|
|
Face Detection (Q)
|
96% |
3687
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3747
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1259
9.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
4035
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6862
8.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5495
7.06 IPS |
|
|
Style Transfer (Q)
|
87% |
5846
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1497
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.8 IPS |
|
|
Text Classification (Q)
|
97% |
719
962.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
68% |
1272
24.6 IPS |
