motorola motorola razr plus 2023
Geekbench AI Score
435
Single Precision Score
422
Half Precision Score
1173
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | July 12 2025 08:01 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr plus 2023 |
| Model ID | motorola motorola razr plus 2023 |
| Motherboard | zeekr |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
100% |
1091
202.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
2075
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
729
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.67 IPS |
|
|
Face Detection (HP)
|
100% |
584
6.93 IPS |
|
|
Face Detection (Q)
|
95% |
1445
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
791
6.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
2902
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1334
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1461
1.90 IPS |
|
|
Style Transfer (Q)
|
98% |
4102
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1031
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.3 IPS |
|
|
Text Classification (Q)
|
88% |
424
571.4 IPS |
|
|
Machine Translation (SP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
