motorola motorola edge 60 pro
Geekbench AI Score
836
Single Precision Score
1073
Half Precision Score
916
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 05:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
97% |
496
92.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1467
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
8161
9.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
7854
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
99% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
540
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1944
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (Q)
|
96% |
2305
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2492
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3350
25.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2996
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7976
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13894
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13101
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1538
57.0 IPS |
|
|
Text Classification (SP)
|
35% |
15
134.1 IPS |
|
|
Text Classification (HP)
|
29% |
9
151.6 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.4 IPS |
|
|
Machine Translation (SP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.26 IPS |
|
|
Machine Translation (Q)
|
43% |
89
5.15 IPS |
