motorola motorola edge 50 pro
Geekbench AI Score
668
Single Precision Score
673
Half Precision Score
1265
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 pro |
| Model ID | motorola motorola edge 50 pro |
| Motherboard | eqe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (Q)
|
100% |
1932
359.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2563
3.04 IPS |
|
|
Object Detection (SP)
|
98% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
98% |
347
27.6 IPS |
|
|
Object Detection (Q)
|
83% |
733
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (Q)
|
95% |
1598
19.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
842
6.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
839
6.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1893
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2093
2.72 IPS |
|
|
Style Transfer (HP)
|
89% |
2128
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4717
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1314
48.7 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.4 IPS |
|
|
Text Classification (HP)
|
99% |
235
313.4 IPS |
|
|
Text Classification (Q)
|
88% |
390
526.6 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (HP)
|
100% |
429
7.40 IPS |
|
|
Machine Translation (Q)
|
50% |
219
7.79 IPS |
