motorola motorola edge 60 pro
Geekbench AI Score
1068
Single Precision Score
4364
Half Precision Score
4367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 03:49 PM |
| Views | 2 |
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% |
1032
192.0 IPS |
|
|
Image Classification (HP)
|
100% |
4046
752.4 IPS |
|
|
Image Classification (Q)
|
99% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4076
66.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1789
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9159
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17530
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72710
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
4170
330.7 IPS |
|
|
Object Detection (Q)
|
86% |
4896
393.8 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
10175
120.9 IPS |
|
|
Face Detection (Q)
|
97% |
11081
132.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
771
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
19021
146.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
31000
294.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2921
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
525
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
421
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2603
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10146
374.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7040
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.5 IPS |
|
|
Text Classification (HP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (Q)
|
93% |
1546
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
60% |
340
7.65 IPS |
