ITEL itel P661N
Geekbench AI Score
547
Single Precision Score
541
Half Precision Score
1017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833GP |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | ITEL itel P661N |
| Model ID | ITEL itel P661N |
| Motherboard | itel-P661N |
| CPU Information | |
|---|---|
| Name | ARM MT6833GP |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
100% |
698
129.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1768
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (Q)
|
95% |
1591
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
995
7.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
1628
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2008
2.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1934
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
4057
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
984
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.7 IPS |
|
|
Text Classification (Q)
|
88% |
526
709.2 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
