HP HP Pavilion Laptop 15-cw1xxx
Geekbench AI Score
430
Single Precision Score
280
Half Precision Score
529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | A-A-Afif |
| Upload Date | April 10 2025 05:25 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | HP HP Pavilion Laptop 15-cw1xxx |
| Motherboard | HP 8615 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
96% |
392
73.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
314
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
918
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
58% |
254
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
96% |
921
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
996
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1614
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1302
1.67 IPS |
|
|
Style Transfer (Q)
|
87% |
1941
2.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.6 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.7 IPS |
|
|
Text Classification (Q)
|
97% |
156
208.9 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (Q)
|
68% |
541
10.5 IPS |
