motorola moto g200 5G
Geekbench AI Score
214
Single Precision Score
211
Half Precision Score
385
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 05 2026 03:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.7 IPS |
|
|
Image Classification (Q)
|
100% |
283
52.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
136
2.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
870
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.10 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (Q)
|
83% |
244
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.05 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
95% |
541
6.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
348
2.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
622
5.69 IPS |
|
|
Style Transfer (SP)
|
89% |
730
0.95 IPS |
|
|
Style Transfer (HP)
|
89% |
729
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1521
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
204
7.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
384
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.1 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.8 IPS |
|
|
Text Classification (Q)
|
88% |
168
226.8 IPS |
|
|
Machine Translation (SP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (Q)
|
50% |
106
3.75 IPS |
