Motorola Razr 50 Ultra
Geekbench AI Score
262
Single Precision Score
255
Half Precision Score
28647
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
97% |
27020
5.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
20179
328.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
147580
172.7 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
12443
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (Q)
|
97% |
57556
686.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
63% |
62013
580.7 IPS |
|
|
Style Transfer (SP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
216648
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55797
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
166
222.0 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.9 IPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
55% |
1518
39.8 IPS |
