HP HP Laptop 15-fc0xxx
Geekbench AI Score
2260
Single Precision Score
1119
Half Precision Score
3726
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | October 05 2025 08:53 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Laptop 15-fc0xxx |
| Motherboard | HP 8DC7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
96% |
3254
607.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
3723
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
7489
8.85 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
58% |
2215
242.0 IPS |
|
|
Face Detection (SP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5482
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4834
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1633
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6702
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8041
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7053
9.07 IPS |
|
|
Style Transfer (Q)
|
87% |
9585
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2805
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1262
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2062
39.8 IPS |
