HUAWEI JNY-LX1
Geekbench ML Score
650
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 05 2025 10:56 AM |
| Views | 5 |
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% |
355
38.0 IPS |
|
|
Image Classification (F16)
|
100% |
660
70.7 IPS |
|
|
Image Classification (I8)
|
81% |
558
59.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
4.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
2044
12.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
2003
12.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (F16)
|
0% |
890
3.60 IPS |
|
|
Pose Estimation (I8)
|
0% |
885
3.58 IPS |
|
|
Object Detection (F32)
|
100% |
356
12.5 IPS |
|
|
Object Detection (F16)
|
99% |
623
21.9 IPS |
|
|
Object Detection (I8)
|
54% |
632
22.2 IPS |
|
|
Face Detection (F32)
|
100% |
702
8.07 IPS |
|
|
Face Detection (F16)
|
97% |
1473
16.9 IPS |
|
|
Face Detection (I8)
|
75% |
1308
15.0 IPS |
|
|
Text Classification (F32)
|
100% |
361
142.8 IPS |
|
|
Text Classification (F16)
|
46% |
669
264.6 IPS |
|
|
Machine Translation (F32)
|
100% |
299
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
301
46.4 IPS |
