motorola moto g(30)
Geekbench AI Score
31
Single Precision Score
95
Half Precision Score
94
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | szabolcsmate |
| Upload Date | August 20 2024 07:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g(30) |
| Model ID | motorola moto g(30) |
| Motherboard | caprip |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
28
5.13 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
97% |
58
10.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
93
1.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
99
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
28
2.23 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.78 IPS |
|
|
Object Detection (Q)
|
86% |
47
3.78 IPS |
|
|
Face Detection (SP)
|
100% |
70
0.83 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (Q)
|
97% |
176
2.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
66
0.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
138
1.06 IPS |
|
|
Depth Estimation (Q)
|
75% |
131
1.06 IPS |
|
|
Style Transfer (SP)
|
0
|
||
|
Style Transfer (HP)
|
100% |
261
0.34 IPS |
|
|
Style Transfer (Q)
|
98% |
258
0.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32
1.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68
2.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
67
2.47 IPS |
|
|
Text Classification (SP)
|
100% |
59
78.9 IPS |
|
|
Text Classification (HP)
|
100% |
59
79.0 IPS |
|
|
Text Classification (Q)
|
91% |
75
101.4 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (HP)
|
100% |
106
1.83 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
