motorola moto g 5G (2022)
Geekbench AI Score
142
Single Precision Score
196
Half Precision Score
190
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 21 2024 03:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6833V/NZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g 5G (2022) |
| Model ID | motorola moto g 5G (2022) |
| Motherboard | austin |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (Q)
|
99% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
221
3.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
89
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
101
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.54 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.69 IPS |
|
|
Face Detection (SP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
380
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
458
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
457
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.59 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.2 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.1 IPS |
|
|
Text Classification (Q)
|
91% |
253
339.5 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
57% |
182
4.45 IPS |
