Motorola Moto G54
Geekbench AI Score
525
Single Precision Score
530
Half Precision Score
1009
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 03:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7020 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Motorola Moto G54 |
| Model ID | motorola moto g54 5G |
| Motherboard | cancunf |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1681
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
663
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
95% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1024
7.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1578
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1978
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1972
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4075
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.2 IPS |
|
|
Text Classification (Q)
|
88% |
548
738.7 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
