motorola moto g24 power
Geekbench AI Score
361
Single Precision Score
368
Half Precision Score
650
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 01:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g24 power |
| Model ID | motorola moto g24 power |
| Motherboard | p325a |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.9 IPS |
|
|
Image Classification (Q)
|
100% |
502
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
649
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
846
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1520
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
486
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (Q)
|
95% |
1097
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1271
11.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1702
2.21 IPS |
|
|
Style Transfer (HP)
|
89% |
1612
2.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3019
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
689
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.4 IPS |
|
|
Text Classification (HP)
|
100% |
185
247.2 IPS |
|
|
Text Classification (Q)
|
88% |
192
259.2 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.81 IPS |
|
|
Machine Translation (Q)
|
50% |
102
3.63 IPS |
