HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
2374
Single Precision Score
1310
Half Precision Score
3901
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 05:09 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% |
1519
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
3828
714.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2729
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
15504
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
88% |
1793
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
4294
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4939
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2160
16.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3799
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9231
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8241
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17971
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2820
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.4 IPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2052
45.8 IPS |
