motorola moto g stylus 5G - 2024
Geekbench AI Score
363
Single Precision Score
333
Half Precision Score
769
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | arkansawdave74 |
| Upload Date | February 14 2025 06:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g stylus 5G - 2024 |
| Model ID | motorola moto g stylus 5G - 2024 |
| Motherboard | boston |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
1376
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
624
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
95% |
1584
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
879
6.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
505
3.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.56 IPS |
|
|
Style Transfer (SP)
|
89% |
1569
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1165
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3950
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.2 IPS |
|
|
Text Classification (HP)
|
100% |
159
211.9 IPS |
|
|
Text Classification (Q)
|
88% |
259
349.4 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.09 IPS |
