motorola motorola edge 60 fusion
Geekbench AI Score
938
Single Precision Score
937
Half Precision Score
2151
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 02 2025 07:11 AM |
| Views | 2 |
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 @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
1537
285.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1793
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
4028
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
1475
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3623
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3659
33.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3751
4.87 IPS |
|
|
Style Transfer (HP)
|
89% |
3756
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
9070
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.7 IPS |
|
|
Text Classification (HP)
|
100% |
533
711.4 IPS |
|
|
Text Classification (Q)
|
88% |
1013
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
