motorola motorola edge 50
Geekbench AI Score
180
Single Precision Score
181
Half Precision Score
435
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 24 2026 12:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 |
| Model ID | motorola motorola edge 50 |
| Motherboard | tank |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
99% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
191
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
743
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.46 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (Q)
|
87% |
312
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
617
7.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
583
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
408
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
408
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1149
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
118
4.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
419
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.3 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.0 IPS |
|
|
Text Classification (Q)
|
91% |
293
394.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
