motorola motorola razr 50 ultra
Geekbench AI Score
396
Single Precision Score
370
Half Precision Score
923
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | October 17 2024 07:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
99% |
703
131.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
631
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (Q)
|
98% |
1714
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
87% |
675
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
600
7.13 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
97% |
1283
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
474
3.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1218
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
705
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2032
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1021
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
353
471.2 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.1 IPS |
|
|
Text Classification (Q)
|
91% |
574
771.1 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
57% |
472
11.5 IPS |
