HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench ML Score
2472
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | morglor |
| Upload Date | April 03 2024 02:45 AM |
| Views | 6 |
System Information
| 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 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% |
873
163.3 IPS |
|
|
Image Classification (F16)
|
100% |
846
158.4 IPS |
|
|
Image Classification (I8)
|
100% |
737
138.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1228
20.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1688
28.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14248
17.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
22428
27.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
17927
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
834
62.3 IPS |
|
|
Object Detection (F16)
|
100% |
779
58.2 IPS |
|
|
Object Detection (I8)
|
62% |
713
53.2 IPS |
|
|
Face Detection (F32)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (F16)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (I8)
|
89% |
1343
16.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6194
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6343
49.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
4609
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
23644
31.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23613
31.1 IPS |
|
|
Style Transfer (I8)
|
98% |
16116
21.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4097
146.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4314
154.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2682
95.8 IPS |
|
|
Text Classification (F32)
|
100% |
799
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
477
684.9 IPS |
|
|
Text Classification (I8)
|
98% |
746
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
937
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
913
16.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1094
20.1 IPS |
