motorola motorola razr 50
Geekbench AI Score
502
Single Precision Score
1232
Half Precision Score
2516
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kalyani_D |
| Upload Date | September 30 2025 06:36 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (Q)
|
99% |
4184
780.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1803
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
26990
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
86% |
2044
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
8930
106.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
6930
53.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
14338
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1531
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
269
0.35 IPS |
|
|
Style Transfer (Q)
|
30% |
332
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
2959
430.9 IPS |
|
|
Text Classification (SP)
|
100% |
64
85.1 IPS |
|
|
Text Classification (HP)
|
100% |
95
126.9 IPS |
|
|
Text Classification (Q)
|
93% |
1210
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.71 IPS |
|
|
Machine Translation (Q)
|
53% |
161
4.62 IPS |
