HUAWEI JNY-LX1
Geekbench ML Score
225
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 12 2024 10:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | HUAWEI JNY-LX1 |
| Model ID | HUAWEI JNY-LX1 |
| Motherboard | JNY |
| CPU Information | |
|---|---|
| Name | vendor |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 72 architecture 8 variant 3 part 3392 revision 0 |
| Base Frequency | 1.88 GHz |
| Cluster 1 | 6 Cores @ 1.88 GHz |
| Cluster 2 | 2 Cores @ 2.28 GHz |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
147
15.7 IPS |
|
|
Image Classification (F16)
|
100% |
116
12.5 IPS |
|
|
Image Classification (I8)
|
81% |
186
20.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
244
1.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
266
1.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
2395
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
57
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.71 IPS |
|
|
Object Detection (F16)
|
100% |
1328
46.6 IPS |
|
|
Object Detection (I8)
|
52% |
268
9.42 IPS |
|
|
Face Detection (F32)
|
100% |
181
2.08 IPS |
|
|
Face Detection (F16)
|
100% |
212
2.43 IPS |
|
|
Face Detection (I8)
|
75% |
261
3.00 IPS |
|
|
Text Classification (F32)
|
100% |
453
179.2 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.5 IPS |
|
|
Machine Translation (F32)
|
100% |
287
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
288
44.4 IPS |
