motorola motorola edge 60 fusion
Geekbench AI Score
539
Single Precision Score
1312
Half Precision Score
2692
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 11:16 AM |
| Views | 1 |
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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (Q)
|
99% |
4516
842.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2022
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2668
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
26915
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
86% |
2184
175.6 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
97% |
9143
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
6943
53.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
14335
136.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1692
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
309
0.40 IPS |
|
|
Style Transfer (Q)
|
30% |
387
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3059
445.5 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.4 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.8 IPS |
|
|
Text Classification (Q)
|
93% |
1309
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
53% |
184
5.30 IPS |
