Motorola Razr 50 Ultra
Geekbench AI Score
1756
Single Precision Score
1810
Half Precision Score
2684
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 08:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1198
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (Q)
|
100% |
1837
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3009
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3144
3.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
6294
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1267
100.8 IPS |
|
|
Object Detection (HP)
|
98% |
1273
101.3 IPS |
|
|
Object Detection (Q)
|
83% |
1868
150.9 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (Q)
|
95% |
4440
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2855
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2798
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4441
40.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7081
9.19 IPS |
|
|
Style Transfer (HP)
|
89% |
7088
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
12974
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3017
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
557
742.9 IPS |
|
|
Text Classification (HP)
|
99% |
555
740.9 IPS |
|
|
Text Classification (Q)
|
88% |
875
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
