HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
2409
Single Precision Score
3483
Half Precision Score
1810
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 05:57 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% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17115
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24786
28.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15065
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (Q)
|
89% |
1121
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
1603
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4687
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7268
56.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
3929
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22026
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36876
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14853
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6199
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2652
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
247
330.8 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
404
9.02 IPS |
