motorola moto g200 5G
Geekbench AI Score
403
Single Precision Score
650
Half Precision Score
83
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 04 2026 08:50 PM |
| Views | 6 |
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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
1074
199.8 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.30 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1989
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5427
6.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
635
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
99% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
2% |
11
268.5 IPS |
|
|
Face Detection (SP)
|
100% |
1392
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (Q)
|
97% |
535
6.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
212
1.63 IPS |
|
|
Depth Estimation (Q)
|
5% |
36
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1440
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.46 IPS |
|
|
Text Classification (SP)
|
100% |
2
3.10 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.0 IPS |
|
|
Text Classification (Q)
|
93% |
33
44.6 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.35 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
57% |
209
5.11 IPS |
