motorola motorola razr 50 ultra
Geekbench AI Score
692
Single Precision Score
874
Half Precision Score
912
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola 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% |
568
105.7 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
99% |
442
82.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
885
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1240
1.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1252
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
89% |
593
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1699
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1714
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1766
13.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
1668
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3389
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
5570
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
5506
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.5 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.0 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.95 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
57% |
458
11.2 IPS |
