motorola motorola edge 50 neo
Geekbench AI Score
532
Single Precision Score
786
Half Precision Score
657
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | November 12 2025 01:27 PM |
| Views | 2 |
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% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
97% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
3771
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
99% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
505
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
1401
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1430
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2483
19.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1946
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3637
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6831
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6579
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1152
42.7 IPS |
|
|
Text Classification (SP)
|
35% |
12
109.8 IPS |
|
|
Text Classification (HP)
|
29% |
8
134.2 IPS |
|
|
Text Classification (Q)
|
32% |
10
128.1 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
43% |
124
7.20 IPS |
