motorola motorola razr 2023
Geekbench AI Score
939
Single Precision Score
936
Half Precision Score
2561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola razr 2023 |
| Model ID | motorola motorola razr 2023 |
| Motherboard | lynkco |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.5 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1837
341.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2061
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2062
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
5399
6.40 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1718
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
4086
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1590
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4571
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3668
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3672
4.77 IPS |
|
|
Style Transfer (Q)
|
98% |
11978
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2936
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.4 IPS |
|
|
Text Classification (HP)
|
100% |
518
690.8 IPS |
|
|
Text Classification (Q)
|
88% |
1073
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
