motorola motorola edge 60 fusion
Geekbench AI Score
483
Single Precision Score
734
Half Precision Score
559
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | November 10 2025 02:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
97% |
306
57.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
3588
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
329
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
1371
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1301
10.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2152
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1735
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3472
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
6342
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6283
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
928
34.4 IPS |
|
|
Text Classification (SP)
|
35% |
11
103.6 IPS |
|
|
Text Classification (HP)
|
35% |
13
122.4 IPS |
|
|
Text Classification (Q)
|
29% |
7
120.0 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.74 IPS |
