| Upload Date | December 02 2025 05:27 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6871 |
| Model ID | INFINIX Infinix X6871 |
| Motherboard | Infinix-X6871 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
592
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
100% |
1668
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1938
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2361
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
3749
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
1319
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3240
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2096
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3341
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4254
5.52 IPS |
|
|
Style Transfer (HP)
|
89% |
4246
5.51 IPS |
|
|
Style Transfer (Q)
|
98% |
8553
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2010
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
561
749.2 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.0 IPS |
|
|
Text Classification (Q)
|
88% |
993
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.3 IPS |