Motorola Razr 50 Ultra
Geekbench AI Score
953
Single Precision Score
1097
Half Precision Score
1315
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.8 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1998
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3160
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1646
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2783
3.30 IPS |
|
|
Object Detection (SP)
|
98% |
617
49.1 IPS |
|
|
Object Detection (HP)
|
98% |
704
56.0 IPS |
|
|
Object Detection (Q)
|
83% |
858
69.3 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
1943
23.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1407
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1279
9.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1903
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2803
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
7406
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4786
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1243
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (HP)
|
99% |
298
398.4 IPS |
|
|
Text Classification (Q)
|
88% |
521
703.0 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
284
10.1 IPS |
