Motorola Razr 50 Ultra
Geekbench AI Score
408
Single Precision Score
395
Half Precision Score
940
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
254
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
612
114.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
1654
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
729
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (Q)
|
97% |
1434
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
538
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1319
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
765
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
781
1.00 IPS |
|
|
Style Transfer (Q)
|
98% |
2157
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1053
39.0 IPS |
|
|
Text Classification (SP)
|
100% |
354
472.4 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.3 IPS |
|
|
Text Classification (Q)
|
91% |
576
774.3 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
57% |
499
12.2 IPS |
