HUAWEI JDN2-L09
Geekbench ML Score
126
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 02:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | HUAWEI JDN2-L09 |
| Model ID | HUAWEI JDN2-L09 |
| Motherboard | JDN2 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 4 Cores @ 1.71 GHz |
| Cluster 2 | 4 Cores @ 2.19 GHz |
| Memory Information | |
|---|---|
| Size | 2.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
82
8.82 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.52 IPS |
|
|
Image Classification (I8)
|
81% |
128
13.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
1.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
151
0.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
399
2.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
119
4.19 IPS |
|
|
Object Detection (F16)
|
100% |
108
3.79 IPS |
|
|
Object Detection (I8)
|
52% |
178
6.26 IPS |
|
|
Face Detection (F32)
|
100% |
172
1.97 IPS |
|
|
Face Detection (F16)
|
100% |
179
2.05 IPS |
|
|
Face Detection (I8)
|
75% |
251
2.88 IPS |
|
|
Text Classification (F32)
|
100% |
125
49.4 IPS |
|
|
Text Classification (F16)
|
100% |
122
48.3 IPS |
|
|
Machine Translation (F32)
|
100% |
86
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
