motorola motorola edge 60 fusion
Geekbench AI Score
922
Single Precision Score
918
Half Precision Score
2042
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 01:31 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% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
100% |
1440
267.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2037
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3852
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
1406
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3479
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1545
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3495
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3664
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3665
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
8738
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2062
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.3 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.9 IPS |
|
|
Text Classification (Q)
|
88% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
468
16.6 IPS |
