INFINIX MOBILITY LIMITED Infinix X682B
Geekbench ML Score
154
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 02:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | INFINIX MOBILITY LIMITED Infinix X682B |
| Model ID | INFINIX MOBILITY LIMITED Infinix X682B |
| Motherboard | Infinix-X682B |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 6 Cores @ 1.70 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
10.9 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.70 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
194
1.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
1.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
528
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
114
4.01 IPS |
|
|
Object Detection (F16)
|
100% |
129
4.51 IPS |
|
|
Object Detection (I8)
|
52% |
271
9.50 IPS |
|
|
Face Detection (F32)
|
100% |
188
2.16 IPS |
|
|
Face Detection (F16)
|
100% |
180
2.07 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
166
65.5 IPS |
|
|
Text Classification (F16)
|
100% |
169
67.0 IPS |
|
|
Machine Translation (F32)
|
100% |
77
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
84
13.0 IPS |
