HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
2280
Single Precision Score
1306
Half Precision Score
3929
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 05:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7540U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ey0xxx |
| Motherboard | HP 8C21 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7540U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.9 IPS |
|
|
Image Classification (Q)
|
99% |
3782
705.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2734
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
15236
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
88% |
1757
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
4364
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4893
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1996
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4252
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10286
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8857
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17634
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2749
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
693
924.9 IPS |
|
|
Text Classification (Q)
|
97% |
1668
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (Q)
|
60% |
2116
47.2 IPS |
