motorola motorola edge 60 pro
Geekbench AI Score
1287
Single Precision Score
1728
Half Precision Score
1466
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 06:31 AM |
| 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 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% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
97% |
888
165.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2247
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7155
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
12304
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12300
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
83% |
908
73.3 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (Q)
|
96% |
3182
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6398
49.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4823
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11581
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21188
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19892
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2463
91.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
195.5 IPS |
|
|
Text Classification (HP)
|
29% |
12
209.5 IPS |
|
|
Text Classification (Q)
|
32% |
16
204.7 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (Q)
|
43% |
172
10.0 IPS |
