HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench ML Score
2249
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 06 2024 11:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Plus Laptop 14-ey0xxx |
| Motherboard | HP 8C21 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
878
164.3 IPS |
|
|
Image Classification (F16)
|
100% |
897
167.9 IPS |
|
|
Image Classification (I8)
|
100% |
776
145.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1280
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1067
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
15846
19.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
15826
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
10483
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
807
60.3 IPS |
|
|
Object Detection (F16)
|
100% |
802
59.9 IPS |
|
|
Object Detection (I8)
|
62% |
739
55.1 IPS |
|
|
Face Detection (F32)
|
100% |
1830
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
1605
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6568
50.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6639
51.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4981
38.6 IPS |
|
|
Style Transfer (F32)
|
100% |
24227
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
24274
31.9 IPS |
|
|
Style Transfer (I8)
|
98% |
16340
21.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4546
162.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4093
146.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2925
104.5 IPS |
|
|
Text Classification (F32)
|
100% |
377
541.7 IPS |
|
|
Text Classification (F16)
|
100% |
375
538.5 IPS |
|
|
Text Classification (I8)
|
98% |
309
444.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
70% |
729
13.4 IPS |
