motorola motorola edge 60 fusion
Geekbench AI Score
275
Single Precision Score
315
Half Precision Score
338
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 03:41 PM |
| Views | 3 |
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% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
99% |
201
37.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
409
6.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
251
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
222
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
97% |
718
8.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
62% |
382
3.61 IPS |
|
|
Style Transfer (SP)
|
100% |
995
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1178
1.51 IPS |
|
|
Style Transfer (Q)
|
98% |
1178
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.22 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.8 IPS |
|
|
Text Classification (HP)
|
100% |
110
147.4 IPS |
|
|
Text Classification (Q)
|
91% |
287
386.3 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.09 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
57% |
209
5.10 IPS |
