ITEL itel A6610L
Geekbench AI Score
173
Single Precision Score
168
Half Precision Score
326
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 06:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ITEL itel A6610L |
| Model ID | ITEL itel A6610L |
| Motherboard | itel-A6610L |
| 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 | 2.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (HP)
|
100% |
83
15.4 IPS |
|
|
Image Classification (Q)
|
100% |
198
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
441
0.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
893
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.29 IPS |
|
|
Object Detection (HP)
|
100% |
93
7.38 IPS |
|
|
Object Detection (Q)
|
83% |
204
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
241
2.86 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.84 IPS |
|
|
Face Detection (Q)
|
95% |
527
6.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
640
5.86 IPS |
|
|
Style Transfer (SP)
|
89% |
854
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
901
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
1936
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.2 IPS |
|
|
Text Classification (HP)
|
100% |
68
90.4 IPS |
|
|
Text Classification (Q)
|
88% |
87
117.7 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (HP)
|
100% |
116
1.99 IPS |
|
|
Machine Translation (Q)
|
50% |
55
1.95 IPS |
