HP HP Pavilion Laptop 15-cc1xx
Geekbench AI Score
735
Single Precision Score
344
Half Precision Score
979
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SmartCat |
| Upload Date | March 26 2025 02:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Laptop 15-cc1xx |
| Motherboard | HP 83F8 |
| Power Plan | Camomile |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (Q)
|
96% |
690
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
590
9.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (Q)
|
86% |
1865
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
58% |
593
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (Q)
|
96% |
1665
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1417
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1860
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2670
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1941
2.50 IPS |
|
|
Style Transfer (Q)
|
87% |
3590
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
652
24.2 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.9 IPS |
|
|
Text Classification (HP)
|
100% |
221
294.5 IPS |
|
|
Text Classification (Q)
|
97% |
347
465.0 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
68% |
717
13.8 IPS |
