motorola moto g200 5G
Geekbench AI Score
282
Single Precision Score
276
Half Precision Score
509
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 27 2026 02:23 PM |
| Views | 7 |
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% |
179
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (Q)
|
100% |
394
73.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
586
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
578
0.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
896
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
83% |
403
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
705
8.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
491
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
473
3.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
839
7.69 IPS |
|
|
Style Transfer (SP)
|
89% |
964
1.25 IPS |
|
|
Style Transfer (HP)
|
89% |
966
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2101
2.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
142
190.1 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.6 IPS |
|
|
Text Classification (Q)
|
88% |
227
305.6 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.75 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.78 IPS |
