HP HP Pavilion Plus Laptop 14z-ey000
Geekbench AI Score
3922
Single Precision Score
4621
Half Precision Score
2911
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:28 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 14z-ey000 |
| 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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (Q)
|
100% |
1217
226.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1997
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18071
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
28877
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
15597
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
89% |
1130
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (Q)
|
97% |
3038
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10057
77.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
6829
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27420
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
42311
54.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23375
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7354
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4432
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
564
755.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
60% |
843
18.8 IPS |
