HP HP Pavilion Plus Laptop 14-ey0xxx
Geekbench ML Score
4938
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2024 01:45 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% |
2434
455.4 IPS |
|
|
Image Classification (F16)
|
100% |
2675
500.6 IPS |
|
|
Image Classification (I8)
|
100% |
2078
388.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2914
48.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2882
48.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2465
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
33688
40.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
35030
42.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
27377
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (I8)
|
62% |
1428
106.6 IPS |
|
|
Face Detection (F32)
|
100% |
5224
62.1 IPS |
|
|
Face Detection (F16)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (I8)
|
89% |
4099
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14733
114.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14985
116.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
11786
91.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31903
42.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31596
41.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27931
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5738
204.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5802
207.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4595
164.1 IPS |
|
|
Text Classification (F32)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1477
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1285
1.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
2324
42.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1868
34.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1440
26.5 IPS |
