HONOR PGT-N19
Geekbench ML Score
2335
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 11:52 PM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1681
180.1 IPS |
|
|
Image Classification (F16)
|
100% |
2376
254.5 IPS |
|
|
Image Classification (I8)
|
80% |
2796
299.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5108
31.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8801
54.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
7988
49.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2513
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
4683
18.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
4694
19.0 IPS |
|
|
Object Detection (F32)
|
100% |
784
27.5 IPS |
|
|
Object Detection (F16)
|
99% |
999
35.1 IPS |
|
|
Object Detection (I8)
|
53% |
976
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
3653
42.0 IPS |
|
|
Face Detection (F16)
|
97% |
5866
67.4 IPS |
|
|
Face Detection (I8)
|
75% |
4795
55.1 IPS |
|
|
Text Classification (F32)
|
100% |
702
277.7 IPS |
|
|
Text Classification (F16)
|
98% |
779
308.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1041
160.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1008
155.4 IPS |
