motorola motorola edge 60
Geekbench AI Score
487
Single Precision Score
695
Half Precision Score
573
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 10:36 PM |
| Views | 1 |
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% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
97% |
286
53.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
865
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3812
4.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
3736
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
99% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
348
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
1362
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1297
9.99 IPS |
|
|
Depth Estimation (HP)
|
98% |
2106
16.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1625
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3477
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
6393
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
6449
8.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
962
35.7 IPS |
|
|
Text Classification (SP)
|
35% |
11
102.2 IPS |
|
|
Text Classification (HP)
|
29% |
7
121.0 IPS |
|
|
Text Classification (Q)
|
32% |
9
118.7 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.97 IPS |
|
|
Machine Translation (Q)
|
43% |
97
5.63 IPS |
