motorola moto g200 5G
Geekbench AI Score
379
Single Precision Score
607
Half Precision Score
83
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 09:38 AM |
| Views | 11 |
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% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
950
176.6 IPS |
|
|
Image Classification (Q)
|
94% |
18
3.30 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
267
4.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1486
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4661
5.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
632
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
99% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
2% |
12
281.0 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
540
6.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.02 IPS |
|
|
Depth Estimation (HP)
|
100% |
212
1.63 IPS |
|
|
Depth Estimation (Q)
|
4% |
37
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1364
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (Q)
|
18% |
12
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.57 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.06 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.4 IPS |
|
|
Text Classification (Q)
|
93% |
34
45.0 IPS |
|
|
Machine Translation (SP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.19 IPS |
