motorola moto g200 5G
Geekbench AI Score
410
Single Precision Score
621
Half Precision Score
82
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 09:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g200 5G |
| Model ID | motorola moto g200 5G |
| Motherboard | xpeng |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
1104
205.2 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.31 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4662
5.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
627
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
99% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
2% |
11
275.2 IPS |
|
|
Face Detection (SP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
537
6.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
211
1.63 IPS |
|
|
Depth Estimation (Q)
|
5% |
39
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1336
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
381
0.49 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
259
9.60 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.98 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.5 IPS |
|
|
Text Classification (Q)
|
93% |
33
44.8 IPS |
|
|
Machine Translation (SP)
|
100% |
174
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.54 IPS |
|
|
Machine Translation (Q)
|
57% |
173
4.24 IPS |
