motorola motorola edge 60 fusion
Geekbench AI Score
910
Single Precision Score
904
Half Precision Score
2024
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
100% |
1263
234.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1972
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3841
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1417
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
3443
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3494
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3557
4.62 IPS |
|
|
Style Transfer (HP)
|
89% |
3539
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
8656
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2055
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
510
681.4 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.0 IPS |
|
|
Text Classification (Q)
|
88% |
963
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
