motorola moto g04
Geekbench AI Score
334
Single Precision Score
337
Half Precision Score
598
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g04 |
| Model ID | motorola moto g04 |
| Motherboard | lion |
| 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 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
420
78.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
593
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
1121
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
83% |
441
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
95% |
1060
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
560
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1039
9.52 IPS |
|
|
Style Transfer (SP)
|
89% |
1381
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1372
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2864
3.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
302
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.2 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
88% |
202
272.7 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.26 IPS |
|
|
Machine Translation (Q)
|
50% |
120
4.26 IPS |
