HUAWEI JNY-LX1
Geekbench ML Score
302
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 19 2025 01:47 PM |
| Views | 14 |
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% |
233
24.9 IPS |
|
|
Image Classification (F16)
|
100% |
234
25.0 IPS |
|
|
Image Classification (I8)
|
81% |
193
20.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
2245
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
59
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
356
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
1758
61.7 IPS |
|
|
Object Detection (I8)
|
52% |
276
9.68 IPS |
|
|
Face Detection (F32)
|
100% |
364
4.18 IPS |
|
|
Face Detection (F16)
|
100% |
361
4.15 IPS |
|
|
Face Detection (I8)
|
75% |
274
3.14 IPS |
|
|
Text Classification (F32)
|
100% |
484
191.5 IPS |
|
|
Text Classification (F16)
|
100% |
130
51.2 IPS |
|
|
Machine Translation (F32)
|
100% |
303
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
304
46.9 IPS |
