motorola motorola edge 70 fusion
Geekbench AI Score
642
Single Precision Score
1096
Half Precision Score
926
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 02 2026 10:27 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola motorola edge 70 fusion |
| Model ID | motorola motorola edge 70 fusion |
| Motherboard | marvel |
| 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 | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
100% |
771
143.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1150
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
4296
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
4241
4.97 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
99% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
85% |
680
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2264
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3074
23.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
2349
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3007
3.87 IPS |
|
|
Style Transfer (HP)
|
100% |
6840
8.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6842
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1241
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1210
44.8 IPS |
|
|
Text Classification (SP)
|
35% |
24
235.7 IPS |
|
|
Text Classification (HP)
|
35% |
35
321.8 IPS |
|
|
Text Classification (Q)
|
33% |
28
314.8 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (Q)
|
48% |
148
5.69 IPS |
