motorola motorola edge 70
Geekbench AI Score
226
Single Precision Score
232
Half Precision Score
519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 09:14 PM |
| Views | 2 |
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
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.0 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 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% |
237
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
905
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
87% |
375
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
380
4.52 IPS |
|
|
Face Detection (Q)
|
97% |
782
9.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
309
2.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
730
6.63 IPS |
|
|
Style Transfer (SP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1585
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.8 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (Q)
|
91% |
256
343.7 IPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
