motorola motorola edge 60 pro
Geekbench AI Score
1071
Single Precision Score
4391
Half Precision Score
4399
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 06:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 60 pro |
| Model ID | motorola motorola edge 60 pro |
| Motherboard | cybert |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1050
195.3 IPS |
|
|
Image Classification (HP)
|
100% |
4082
759.2 IPS |
|
|
Image Classification (Q)
|
99% |
7341
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4156
67.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1792
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9289
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17706
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
73062
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
4253
337.3 IPS |
|
|
Object Detection (Q)
|
86% |
4916
395.4 IPS |
|
|
Face Detection (SP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
10147
120.6 IPS |
|
|
Face Detection (Q)
|
97% |
11110
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
19142
147.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
31321
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2955
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (Q)
|
30% |
427
6.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2628
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10166
375.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6946
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.7 IPS |
|
|
Text Classification (HP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (Q)
|
93% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
60% |
348
7.84 IPS |
