HP HP Laptop 15-fc0xxx
Geekbench AI Score
1091
Single Precision Score
646
Half Precision Score
1613
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | June 15 2025 01:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7520U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fc0xxx |
| Motherboard | HP 8B2F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7520U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
96% |
999
186.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
855
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1409
1.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
2789
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
838
66.5 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.5 IPS |
|
|
Object Detection (Q)
|
58% |
983
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (Q)
|
96% |
2993
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2345
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1064
8.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
3203
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4217
5.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3705
4.76 IPS |
|
|
Style Transfer (Q)
|
87% |
5269
6.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1059
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
467
622.8 IPS |
|
|
Text Classification (Q)
|
97% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
68% |
1114
21.5 IPS |
