motorola motorola edge 70
Geekbench AI Score
1670
Single Precision Score
1643
Half Precision Score
2751
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 12:55 PM |
| Views | 9 |
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% |
1262
234.7 IPS |
|
|
Image Classification (HP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (Q)
|
100% |
2118
393.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2126
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
6954
8.25 IPS |
|
|
Object Detection (SP)
|
98% |
1205
95.9 IPS |
|
|
Object Detection (HP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (Q)
|
83% |
1860
150.3 IPS |
|
|
Face Detection (SP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2075
24.7 IPS |
|
|
Face Detection (Q)
|
95% |
4385
52.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2548
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2276
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4414
40.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6920
8.98 IPS |
|
|
Style Transfer (HP)
|
89% |
6917
8.98 IPS |
|
|
Style Transfer (Q)
|
98% |
12410
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3030
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.6 IPS |
|
|
Text Classification (HP)
|
99% |
579
772.7 IPS |
|
|
Text Classification (Q)
|
88% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
603
21.4 IPS |
