motorola motorola edge 50 ultra
Geekbench AI Score
617
Single Precision Score
869
Half Precision Score
866
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 08:12 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 50 ultra |
| Model ID | motorola motorola edge 50 ultra |
| Motherboard | ctwo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
96% |
497
92.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
706
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1135
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (Q)
|
87% |
526
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
2060
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
887
6.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1312
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2834
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
4556
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
4471
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.6 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.4 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.0 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.83 IPS |
