motorola motorola razr 50
Geekbench AI Score
831
Single Precision Score
822
Half Precision Score
1689
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kalyani_D |
| Upload Date | September 30 2025 06:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr 50 |
| Model ID | motorola motorola razr 50 |
| Motherboard | aito |
| 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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (Q)
|
100% |
1267
235.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1465
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1870
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3240
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1216
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3026
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1315
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2707
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3070
3.98 IPS |
|
|
Style Transfer (HP)
|
89% |
3084
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
6783
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
414
553.1 IPS |
|
|
Text Classification (HP)
|
100% |
414
553.1 IPS |
|
|
Text Classification (Q)
|
88% |
741
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
