Motorola Razr 50 Ultra
Geekbench AI Score
326
Single Precision Score
284
Half Precision Score
733
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
277
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
99% |
659
122.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
630
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
1216
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
603
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
335
3.98 IPS |
|
|
Face Detection (Q)
|
97% |
696
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
321
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
923
8.38 IPS |
|
|
Style Transfer (SP)
|
100% |
627
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1878
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
184
6.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
580
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
355
474.0 IPS |
|
|
Text Classification (HP)
|
100% |
356
475.4 IPS |
|
|
Text Classification (Q)
|
91% |
622
836.1 IPS |
|
|
Machine Translation (SP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
57% |
339
8.29 IPS |
