ITEL itel A671LC
Geekbench AI Score
50
Single Precision Score
50
Half Precision Score
123
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 03:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ITEL itel A671LC |
| Model ID | ITEL itel A671LC |
| Motherboard | itel-A671LC |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
27
5.11 IPS |
|
|
Image Classification (HP)
|
100% |
28
5.29 IPS |
|
|
Image Classification (Q)
|
99% |
80
15.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
36
0.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
37
0.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
74
1.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
55
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
54
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
228
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.18 IPS |
|
|
Object Detection (HP)
|
100% |
28
2.21 IPS |
|
|
Object Detection (Q)
|
87% |
90
7.19 IPS |
|
|
Face Detection (SP)
|
100% |
70
0.83 IPS |
|
|
Face Detection (HP)
|
100% |
71
0.85 IPS |
|
|
Face Detection (Q)
|
97% |
177
2.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
67
0.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
68
0.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
161
1.46 IPS |
|
|
Style Transfer (SP)
|
100% |
123
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
123
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
351
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36
1.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36
1.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
127
4.70 IPS |
|
|
Text Classification (SP)
|
100% |
42
56.6 IPS |
|
|
Text Classification (HP)
|
100% |
44
58.2 IPS |
|
|
Text Classification (Q)
|
91% |
80
107.2 IPS |
|
|
Machine Translation (SP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (HP)
|
100% |
79
1.36 IPS |
|
|
Machine Translation (Q)
|
57% |
67
1.64 IPS |
