motorola motorola edge 70
Geekbench AI Score
1004
Single Precision Score
1763
Half Precision Score
1283
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 08:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
100% |
1025
190.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1868
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
8418
9.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
8189
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.7 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
87% |
818
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (Q)
|
97% |
2588
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2586
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4772
36.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
3575
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5266
6.77 IPS |
|
|
Style Transfer (HP)
|
100% |
10446
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10117
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1807
66.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1727
64.0 IPS |
|
|
Text Classification (SP)
|
35% |
38
366.6 IPS |
|
|
Text Classification (HP)
|
35% |
58
529.2 IPS |
|
|
Text Classification (Q)
|
33% |
43
512.0 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
97% |
784
13.6 IPS |
|
|
Machine Translation (Q)
|
43% |
136
7.73 IPS |
