motorola moto g73 5G
Geekbench AI Score
253
Single Precision Score
306
Half Precision Score
126
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 04:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g73 5G |
| Model ID | motorola moto g73 5G |
| Motherboard | devonf |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
97% |
367
68.6 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.40 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
26
0.43 IPS |
|
|
Pose Estimation (SP)
|
99% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
98% |
2347
2.75 IPS |
|
|
Pose Estimation (Q)
|
70% |
1148
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
99% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
80% |
30
2.43 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (HP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
39
0.47 IPS |
|
|
Depth Estimation (SP)
|
84% |
693
5.42 IPS |
|
|
Depth Estimation (HP)
|
84% |
1667
13.1 IPS |
|
|
Depth Estimation (Q)
|
57% |
133
1.45 IPS |
|
|
Style Transfer (SP)
|
100% |
924
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1839
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
29% |
4
69.6 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (Q)
|
93% |
75
101.0 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
55% |
137
3.64 IPS |
