Motorola Razr 50 Ultra
Geekbench AI Score
430
Single Precision Score
688
Half Precision Score
525
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Origem |
| Upload Date | November 26 2025 09:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
305
56.8 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
100% |
439
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3220
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3161
3.70 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
99% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
87% |
313
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1298
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
1253
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2262
2.91 IPS |
|
|
Style Transfer (HP)
|
100% |
4766
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4655
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
743
27.5 IPS |
|
|
Text Classification (SP)
|
35% |
13
124.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
180.3 IPS |
|
|
Text Classification (Q)
|
33% |
11
132.0 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
97% |
296
5.13 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.40 IPS |
