motorola motorola edge 50 neo
Geekbench AI Score
269
Single Precision Score
315
Half Precision Score
342
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 01:46 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 neo |
| Model ID | motorola motorola edge 50 neo |
| Motherboard | vienna |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (HP)
|
100% |
242
44.9 IPS |
|
|
Image Classification (Q)
|
99% |
224
41.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
253
0.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
252
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
213
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
679
8.06 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
97% |
728
8.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
472
3.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
382
3.61 IPS |
|
|
Style Transfer (SP)
|
100% |
994
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1176
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.18 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.7 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.1 IPS |
|
|
Text Classification (Q)
|
91% |
287
385.3 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.24 IPS |
