motorola motorola edge 70
Geekbench AI Score
229
Single Precision Score
228
Half Precision Score
518
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 05:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola motorola edge 70 |
| Model ID | motorola motorola edge 70 |
| Motherboard | roadstr |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
369
6.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
236
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
236
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
901
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
87% |
374
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
782
9.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
730
6.63 IPS |
|
|
Style Transfer (SP)
|
100% |
556
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1581
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (Q)
|
91% |
257
345.8 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.61 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.61 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.70 IPS |
