HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
2459
Single Precision Score
3505
Half Precision Score
2129
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 06:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 740M Graphics |
| 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% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (Q)
|
100% |
1123
208.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
932
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17936
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24432
28.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15683
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (HP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (Q)
|
89% |
1109
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2470
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4677
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7272
56.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
4733
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22143
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37459
48.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14919
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6562
242.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2374
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
622
832.7 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
409
9.12 IPS |
