motorola motorola razr 50 ultra
Geekbench AI Score
693
Single Precision Score
924
Half Precision Score
929
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | October 17 2024 07:22 PM |
| Views | 2 |
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% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1062
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1248
1.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
1251
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
87% |
608
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1781
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1166
8.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1751
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1464
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3392
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
5527
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
5421
6.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
628
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.6 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.5 IPS |
|
|
Text Classification (Q)
|
91% |
279
375.1 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.95 IPS |
|
|
Machine Translation (Q)
|
57% |
494
12.1 IPS |
