motorola moto g71 5G
Geekbench AI Score
548
Single Precision Score
546
Half Precision Score
1060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g71 5G |
| Model ID | motorola moto g71 5G |
| Motherboard | corfur |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
730
135.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1181
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1744
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
712
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (Q)
|
95% |
1716
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1020
7.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1622
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2053
2.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2028
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4019
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (HP)
|
100% |
286
381.4 IPS |
|
|
Text Classification (Q)
|
88% |
582
784.5 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
366
13.0 IPS |
