motorola moto g41
Geekbench AI Score
91
Single Precision Score
129
Half Precision Score
131
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 12:22 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g41 |
| Model ID | motorola moto g41 |
| Motherboard | corfu |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
97% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
142
2.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
54
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
80
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
80
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.36 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.27 IPS |
|
|
Object Detection (Q)
|
92% |
88
7.05 IPS |
|
|
Face Detection (SP)
|
100% |
213
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
97% |
290
3.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
116
0.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
178
1.37 IPS |
|
|
Depth Estimation (Q)
|
72% |
154
1.28 IPS |
|
|
Style Transfer (SP)
|
100% |
225
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
370
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
370
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
100
3.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
100
3.70 IPS |
|
|
Text Classification (SP)
|
100% |
60
80.0 IPS |
|
|
Text Classification (HP)
|
100% |
59
78.6 IPS |
|
|
Text Classification (Q)
|
91% |
97
130.8 IPS |
|
|
Machine Translation (SP)
|
100% |
102
1.75 IPS |
|
|
Machine Translation (HP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (Q)
|
57% |
91
2.23 IPS |
