motorola motorola edge 60
Geekbench AI Score
498
Single Precision Score
711
Half Precision Score
592
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 05:11 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 |
| Model ID | motorola motorola edge 60 |
| 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 | 11.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
97% |
435
81.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
858
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
3579
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
334
27.0 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1603
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
1378
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1318
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1685
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3471
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
6248
8.03 IPS |
|
|
Style Transfer (Q)
|
98% |
6285
8.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
942
34.9 IPS |
|
|
Text Classification (SP)
|
35% |
12
105.8 IPS |
|
|
Text Classification (HP)
|
29% |
7
125.4 IPS |
|
|
Text Classification (Q)
|
32% |
9
121.0 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
43% |
97
5.65 IPS |
