HUAWEI JNY-LX1
Geekbench ML Score
222
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 27 2024 08:52 AM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
72
7.72 IPS |
|
|
Image Classification (F16)
|
100% |
73
7.79 IPS |
|
|
Image Classification (I8)
|
81% |
158
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
344
2.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
336
2.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
564
3.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
137
4.81 IPS |
|
|
Object Detection (F16)
|
100% |
139
4.87 IPS |
|
|
Object Detection (I8)
|
52% |
300
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
309
3.54 IPS |
|
|
Face Detection (F16)
|
100% |
315
3.62 IPS |
|
|
Face Detection (I8)
|
75% |
352
4.05 IPS |
|
|
Text Classification (F32)
|
100% |
396
156.8 IPS |
|
|
Text Classification (F16)
|
100% |
394
155.6 IPS |
|
|
Machine Translation (F32)
|
100% |
303
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
303
46.7 IPS |
