motorola motorola edge 70
Geekbench AI Score
1669
Single Precision Score
1663
Half Precision Score
2709
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 03:24 PM |
| Views | 1 |
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 | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.4 IPS |
|
|
Image Classification (Q)
|
100% |
1865
346.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6987
8.29 IPS |
|
|
Object Detection (SP)
|
98% |
1210
96.3 IPS |
|
|
Object Detection (HP)
|
98% |
1216
96.8 IPS |
|
|
Object Detection (Q)
|
83% |
1860
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (Q)
|
95% |
4444
53.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2507
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2573
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4476
41.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6964
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
6965
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
12335
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3035
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
577
770.1 IPS |
|
|
Text Classification (HP)
|
99% |
579
773.3 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
