motorola motorola razr 50
Geekbench AI Score
484
Single Precision Score
724
Half Precision Score
594
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kalyani_D |
| Upload Date | September 30 2025 06:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
97% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
851
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
3811
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
99% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
83% |
357
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
1276
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2155
16.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1761
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3662
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6462
8.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6364
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
940
34.9 IPS |
|
|
Text Classification (SP)
|
35% |
11
103.1 IPS |
|
|
Text Classification (HP)
|
29% |
7
123.7 IPS |
|
|
Text Classification (Q)
|
32% |
9
117.4 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
43% |
99
5.76 IPS |
