motorola motorola razr 50 ultra
Geekbench AI Score
925
Single Precision Score
952
Half Precision Score
1595
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | October 17 2024 07:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.6 IPS |
|
|
Image Classification (Q)
|
100% |
2412
448.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1885
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
6084
7.22 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
522
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
941
76.0 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
1997
23.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1242
9.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
2195
20.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2753
3.57 IPS |
|
|
Style Transfer (HP)
|
89% |
7464
9.69 IPS |
|
|
Style Transfer (Q)
|
98% |
4792
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
279
371.9 IPS |
|
|
Text Classification (HP)
|
99% |
272
363.1 IPS |
|
|
Text Classification (Q)
|
88% |
471
634.6 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
