Motorola Razr 50 Ultra
Geekbench AI Score
1201
Single Precision Score
1748
Half Precision Score
1304
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Motorola Razr 50 Ultra |
| Model ID | motorola motorola razr 50 ultra |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (Q)
|
100% |
1093
203.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6907
8.06 IPS |
|
|
Pose Estimation (HP)
|
99% |
12022
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10852
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
99% |
851
67.5 IPS |
|
|
Object Detection (Q)
|
87% |
852
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
3151
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3611
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4914
38.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
3654
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7264
9.34 IPS |
|
|
Style Transfer (HP)
|
100% |
14329
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13883
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1961
72.7 IPS |
|
|
Text Classification (SP)
|
35% |
31
305.4 IPS |
|
|
Text Classification (HP)
|
35% |
36
328.0 IPS |
|
|
Text Classification (Q)
|
33% |
27
329.9 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
97% |
413
7.14 IPS |
|
|
Machine Translation (Q)
|
43% |
108
6.13 IPS |
