| User | Kuwait |
| Upload Date | July 11 2025 04:00 AM |
| Views | 5 |
| Notes | CPU |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | INFINIX Infinix X6873 |
| Model ID | INFINIX Infinix X6873 |
| Motherboard | Infinix-X6873 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.22 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
100% |
2368
440.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2248
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2455
2.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
5210
6.18 IPS |
|
|
Object Detection (SP)
|
98% |
1082
86.1 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.2 IPS |
|
|
Object Detection (Q)
|
83% |
1705
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3786
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2028
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2137
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3993
36.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5324
6.91 IPS |
|
|
Style Transfer (HP)
|
89% |
5300
6.88 IPS |
|
|
Style Transfer (Q)
|
98% |
11123
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2619
97.1 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.0 IPS |
|
|
Text Classification (HP)
|
99% |
548
731.8 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
50% |
562
20.0 IPS |