Motorola Moto G54
Geekbench AI Score
107
Single Precision Score
195
Half Precision Score
131
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gamer_321 |
| Upload Date | February 10 2025 07:01 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
56
10.4 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
0% |
0
20.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
80
1.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
212
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
74
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
153
0.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
41
3.25 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.97 IPS |
|
|
Object Detection (Q)
|
84% |
100
8.09 IPS |
|
|
Face Detection (SP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.27 IPS |
|
|
Face Detection (Q)
|
97% |
389
4.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
122
0.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
254
1.97 IPS |
|
|
Depth Estimation (Q)
|
63% |
211
1.98 IPS |
|
|
Style Transfer (SP)
|
100% |
281
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
623
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
133
4.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
131
4.86 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.0 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (Q)
|
91% |
304
408.6 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
