motorola motorola edge 70
Geekbench AI Score
1639
Single Precision Score
1614
Half Precision Score
2682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 01:22 PM |
| Views | 2 |
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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
1151
214.1 IPS |
|
|
Image Classification (Q)
|
100% |
1788
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2104
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2855
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2867
3.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
6940
8.23 IPS |
|
|
Object Detection (SP)
|
98% |
1141
90.8 IPS |
|
|
Object Detection (HP)
|
98% |
1149
91.4 IPS |
|
|
Object Detection (Q)
|
83% |
1863
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
95% |
4394
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2528
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4419
40.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6927
8.99 IPS |
|
|
Style Transfer (HP)
|
89% |
6850
8.89 IPS |
|
|
Style Transfer (Q)
|
98% |
12392
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3170
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
544
725.5 IPS |
|
|
Text Classification (HP)
|
99% |
538
718.5 IPS |
|
|
Text Classification (Q)
|
88% |
879
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
