INFINIX Infinix X6528B
Geekbench ML Score
139
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 06 2024 12:02 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | INFINIX Infinix X6528B |
| Model ID | INFINIX Infinix X6528B |
| Motherboard | Infinix-X6528B |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 7.59 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
15.0 IPS |
|
|
Image Classification (F16)
|
100% |
79
14.9 IPS |
|
|
Image Classification (I8)
|
99% |
107
20.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
99
1.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
98
1.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
136
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
449
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
448
0.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
415
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
43
3.24 IPS |
|
|
Object Detection (F16)
|
100% |
43
3.24 IPS |
|
|
Object Detection (I8)
|
61% |
82
6.10 IPS |
|
|
Face Detection (F32)
|
100% |
263
3.13 IPS |
|
|
Face Detection (F16)
|
100% |
262
3.11 IPS |
|
|
Face Detection (I8)
|
86% |
204
2.43 IPS |
|
|
Depth Estimation (F32)
|
100% |
364
2.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
365
2.83 IPS |
|
|
Depth Estimation (I8)
|
96% |
391
3.03 IPS |
|
|
Style Transfer (F32)
|
100% |
323
0.43 IPS |
|
|
Style Transfer (F16)
|
100% |
326
0.43 IPS |
|
|
Style Transfer (I8)
|
97% |
548
0.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
207
7.39 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
207
7.41 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
221
7.90 IPS |
|
|
Text Classification (F32)
|
100% |
20
28.6 IPS |
|
|
Text Classification (F16)
|
100% |
20
28.7 IPS |
|
|
Text Classification (I8)
|
94% |
25
36.6 IPS |
|
|
Machine Translation (F32)
|
100% |
72
1.33 IPS |
|
|
Machine Translation (F16)
|
100% |
103
1.90 IPS |
|
|
Machine Translation (I8)
|
57% |
71
1.31 IPS |
