HONOR PGT-N19
Geekbench ML Score
627
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 11:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | HONOR PGT-N19 |
| Model ID | HONOR PGT-N19 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
565
60.5 IPS |
|
|
Image Classification (F16)
|
100% |
560
60.0 IPS |
|
|
Image Classification (I8)
|
81% |
475
50.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
5.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
826
5.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
857
5.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
305
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
600
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
580
20.4 IPS |
|
|
Object Detection (I8)
|
52% |
559
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
793
9.11 IPS |
|
|
Face Detection (F16)
|
100% |
784
9.00 IPS |
|
|
Face Detection (I8)
|
75% |
633
7.27 IPS |
|
|
Text Classification (F32)
|
100% |
1194
472.3 IPS |
|
|
Text Classification (F16)
|
100% |
1194
472.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1067
164.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1078
166.1 IPS |
