motorola motorola edge 60 fusion
Geekbench AI Score
536
Single Precision Score
1309
Half Precision Score
2694
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 60 fusion |
| Model ID | motorola motorola edge 60 fusion |
| Motherboard | scout |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
1511
280.9 IPS |
|
|
Image Classification (Q)
|
99% |
4526
844.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2681
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
27020
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
86% |
2181
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
9196
109.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
400
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
6956
53.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
14332
136.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1678
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
303
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
387
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3036
442.2 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.7 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.0 IPS |
|
|
Text Classification (Q)
|
93% |
1302
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.13 IPS |
|
|
Machine Translation (Q)
|
53% |
184
5.28 IPS |
