INFINIX MOBILITY LIMITED Infinix X682B
Geekbench ML Score
245
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 02:47 PM |
| Views | 4 |
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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
134
14.3 IPS |
|
|
Image Classification (F16)
|
100% |
299
32.0 IPS |
|
|
Image Classification (I8)
|
81% |
267
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
282
1.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
749
4.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
719
4.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (F16)
|
0% |
316
1.28 IPS |
|
|
Pose Estimation (I8)
|
0% |
315
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
107
3.76 IPS |
|
|
Object Detection (F16)
|
99% |
237
8.32 IPS |
|
|
Object Detection (I8)
|
54% |
167
5.85 IPS |
|
|
Face Detection (F32)
|
100% |
281
3.22 IPS |
|
|
Face Detection (F16)
|
97% |
613
7.05 IPS |
|
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
176
69.6 IPS |
|
|
Text Classification (F16)
|
46% |
287
113.4 IPS |
|
|
Machine Translation (F32)
|
100% |
84
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
81
12.5 IPS |
