HUAWEI JNY-LX1
Geekbench ML Score
315
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | October 05 2025 10:59 AM |
| Views | 7 |
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% |
255
27.3 IPS |
|
|
Image Classification (F16)
|
100% |
253
27.1 IPS |
|
|
Image Classification (I8)
|
81% |
221
23.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
431
2.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
431
2.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
655
4.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
159
0.64 IPS |
|
|
Object Detection (F32)
|
100% |
401
14.1 IPS |
|
|
Object Detection (F16)
|
100% |
405
14.2 IPS |
|
|
Object Detection (I8)
|
52% |
357
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
431
4.95 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.07 IPS |
|
|
Face Detection (I8)
|
75% |
435
5.00 IPS |
|
|
Text Classification (F32)
|
100% |
307
121.3 IPS |
|
|
Text Classification (F16)
|
100% |
305
120.7 IPS |
|
|
Machine Translation (F32)
|
100% |
306
47.1 IPS |
|
|
Machine Translation (F16)
|
100% |
307
47.3 IPS |
