motorola motorola edge 50 ultra
Geekbench AI Score
360
Single Precision Score
317
Half Precision Score
25394
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | tavcsor |
| Upload Date | July 17 2025 12:37 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
97% |
21762
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
18061
293.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
124866
146.1 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
86% |
11058
889.1 IPS |
|
|
Face Detection (SP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (Q)
|
97% |
59998
715.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
59294
555.2 IPS |
|
|
Style Transfer (SP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
654
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
181932
234.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36128
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
216
288.7 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.0 IPS |
|
|
Text Classification (Q)
|
93% |
5555
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
55% |
1582
41.4 IPS |
