HP HP Laptop 15-fc0xxx
Geekbench AI Score
1405
Single Precision Score
1600
Half Precision Score
1149
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 07VFDInLCD |
| Upload Date | June 15 2025 01:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
491
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
100% |
489
91.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
760
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4594
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
8570
10.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
4081
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
87% |
521
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1274
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2678
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3377
26.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2270
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8408
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12840
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7563
9.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1584
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.2 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.4 IPS |
|
|
Text Classification (Q)
|
97% |
374
501.1 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
70% |
394
7.39 IPS |
