ITEL itel P671L
Geekbench AI Score
66
Single Precision Score
93
Half Precision Score
91
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 25 2024 05:53 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | ITEL itel P671L |
| Model ID | ITEL itel P671L |
| Motherboard | itel-P671L |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 6 Cores @ 1.61 GHz |
| Cluster 2 | 2 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
43
7.99 IPS |
|
|
Image Classification (HP)
|
100% |
80
14.8 IPS |
|
|
Image Classification (Q)
|
99% |
77
14.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
62
1.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
107
1.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
41
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
49
0.06 IPS |
|
|
Object Detection (SP)
|
100% |
36
2.88 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.92 IPS |
|
|
Object Detection (Q)
|
83% |
61
4.97 IPS |
|
|
Face Detection (SP)
|
100% |
139
1.66 IPS |
|
|
Face Detection (HP)
|
100% |
210
2.49 IPS |
|
|
Face Detection (Q)
|
97% |
202
2.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
78
0.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
102
0.78 IPS |
|
|
Depth Estimation (Q)
|
62% |
82
0.78 IPS |
|
|
Style Transfer (SP)
|
100% |
154
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
215
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
214
0.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40
1.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
61
2.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
61
2.26 IPS |
|
|
Text Classification (SP)
|
100% |
63
84.5 IPS |
|
|
Text Classification (HP)
|
100% |
62
82.9 IPS |
|
|
Text Classification (Q)
|
91% |
95
127.9 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (HP)
|
100% |
111
1.91 IPS |
|
|
Machine Translation (Q)
|
57% |
83
2.02 IPS |
