motorola motorola edge 70
Geekbench AI Score
1621
Single Precision Score
1584
Half Precision Score
2641
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 27 2025 05:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
1104
205.4 IPS |
|
|
Image Classification (Q)
|
100% |
1752
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2111
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
6927
8.21 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1160
92.3 IPS |
|
|
Object Detection (Q)
|
83% |
1896
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (Q)
|
95% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2457
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2440
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4348
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6947
9.02 IPS |
|
|
Style Transfer (HP)
|
89% |
6958
9.03 IPS |
|
|
Style Transfer (Q)
|
98% |
12360
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2949
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.5 IPS |
|
|
Text Classification (HP)
|
99% |
553
738.5 IPS |
|
|
Text Classification (Q)
|
88% |
862
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
567
20.1 IPS |
