motorola motorola edge 70
Geekbench AI Score
1651
Single Precision Score
1635
Half Precision Score
2716
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 08:51 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 | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.0 IPS |
|
|
Image Classification (Q)
|
100% |
1810
336.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6956
8.25 IPS |
|
|
Object Detection (SP)
|
98% |
1199
95.5 IPS |
|
|
Object Detection (HP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (Q)
|
83% |
1878
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2108
25.0 IPS |
|
|
Face Detection (Q)
|
95% |
4472
53.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2289
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2413
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4442
40.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6944
9.01 IPS |
|
|
Style Transfer (HP)
|
89% |
6872
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12357
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3261
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.6 IPS |
|
|
Text Classification (HP)
|
99% |
560
748.1 IPS |
|
|
Text Classification (Q)
|
88% |
902
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
