ITEL itel P661N
Geekbench AI Score
534
Single Precision Score
540
Half Precision Score
1005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 10:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | ITEL itel P661N |
| Model ID | ITEL itel P661N |
| Motherboard | itel-P661N |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
694
129.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1740
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
687
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
756
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
95% |
1573
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1598
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1977
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1966
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
3972
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
965
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.7 IPS |
|
|
Text Classification (Q)
|
88% |
517
697.8 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (Q)
|
50% |
341
12.1 IPS |
