motorola motorola edge 70
Geekbench AI Score
1589
Single Precision Score
1555
Half Precision Score
2633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 07:56 AM |
| Views | 27 |
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% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (Q)
|
100% |
1845
343.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2102
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
6039
7.16 IPS |
|
|
Object Detection (SP)
|
98% |
1173
93.3 IPS |
|
|
Object Detection (HP)
|
98% |
1179
93.8 IPS |
|
|
Object Detection (Q)
|
83% |
1866
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2138
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2146
25.5 IPS |
|
|
Face Detection (Q)
|
95% |
4432
52.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2270
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2227
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4373
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6236
8.10 IPS |
|
|
Style Transfer (HP)
|
89% |
6252
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
12215
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2986
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (HP)
|
99% |
547
729.9 IPS |
|
|
Text Classification (Q)
|
88% |
962
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
