HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench AI Score
1757
Single Precision Score
964
Half Precision Score
2866
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 05:46 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% |
1054
196.0 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (Q)
|
99% |
2868
535.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1956
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3929
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
11773
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
88% |
1090
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1954
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2507
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1404
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3527
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6444
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
6031
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
14077
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1185
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2217
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
474
632.2 IPS |
|
|
Text Classification (Q)
|
97% |
1159
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1626
36.3 IPS |
