ITEL itel A665L
Geekbench AI Score
253
Single Precision Score
251
Half Precision Score
462
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | ITEL itel A665L |
| Model ID | ITEL itel A665L |
| Motherboard | itel-A665L |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| 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 | 2.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.1 IPS |
|
|
Image Classification (Q)
|
100% |
330
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
465
7.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
576
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
595
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1208
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
334
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
95% |
806
9.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
458
3.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
934
8.56 IPS |
|
|
Style Transfer (SP)
|
89% |
1351
1.75 IPS |
|
|
Style Transfer (HP)
|
89% |
844
1.10 IPS |
|
|
Style Transfer (Q)
|
98% |
1667
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
570
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
116
155.2 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.7 IPS |
|
|
Text Classification (Q)
|
88% |
126
169.6 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.26 IPS |
|
|
Machine Translation (Q)
|
50% |
80
2.84 IPS |
