HP HP Laptop 15-fc0xxx
Geekbench AI Score
1107
Single Precision Score
649
Half Precision Score
1649
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | April 24 2025 03:39 AM |
| Views | 2 |
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% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (Q)
|
96% |
1295
241.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
1099
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
2701
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (Q)
|
58% |
961
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
96% |
3012
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2175
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
3057
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3929
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3535
4.54 IPS |
|
|
Style Transfer (Q)
|
87% |
5133
6.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
667
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1033
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
97% |
847
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
68% |
979
18.9 IPS |
