HUAWEI JNY-LX1
Geekbench ML Score
590
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 12 2024 11:04 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
304
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
|
Image Classification (I8)
|
81% |
571
61.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
722
4.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
2004
12.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1718
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
214
0.86 IPS |
|
|
Pose Estimation (F16)
|
0% |
886
3.59 IPS |
|
|
Pose Estimation (I8)
|
0% |
886
3.59 IPS |
|
|
Object Detection (F32)
|
100% |
295
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
508
17.8 IPS |
|
|
Object Detection (I8)
|
54% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
711
8.16 IPS |
|
|
Face Detection (F16)
|
97% |
1514
17.4 IPS |
|
|
Face Detection (I8)
|
75% |
1189
13.7 IPS |
|
|
Text Classification (F32)
|
100% |
283
111.8 IPS |
|
|
Text Classification (F16)
|
46% |
450
178.0 IPS |
|
|
Machine Translation (F32)
|
100% |
295
45.5 IPS |
|
|
Machine Translation (F16)
|
100% |
297
45.7 IPS |
