HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench ML Score
4974
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 01:34 PM |
| 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 w/ Radeon(TM) 780M Graphics |
| 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% |
2829
529.4 IPS |
|
|
Image Classification (F16)
|
100% |
2661
497.9 IPS |
|
|
Image Classification (I8)
|
100% |
2110
394.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2890
48.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2859
47.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2417
40.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
33451
40.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
34195
41.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
27341
33.1 IPS |
|
|
Object Detection (F32)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (F16)
|
100% |
1455
108.6 IPS |
|
|
Object Detection (I8)
|
62% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (F16)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (I8)
|
89% |
4058
48.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
14172
109.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
14059
109.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
11557
89.6 IPS |
|
|
Style Transfer (F32)
|
100% |
31059
40.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30757
40.5 IPS |
|
|
Style Transfer (I8)
|
98% |
27099
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5980
213.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5728
204.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4499
160.7 IPS |
|
|
Text Classification (F32)
|
100% |
1547
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1526
2.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1297
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2260
41.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2319
42.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1435
26.4 IPS |
