motorola motorola razr plus 2024
Geekbench AI Score
1659
Single Precision Score
2548
Half Precision Score
2098
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 28 2025 02:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr plus 2024 |
| Model ID | motorola motorola razr plus 2024 |
| 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% |
1059
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.2 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3012
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7228
8.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
12144
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12808
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (HP)
|
99% |
1231
97.7 IPS |
|
|
Object Detection (Q)
|
87% |
1266
101.7 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (Q)
|
97% |
5603
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3908
30.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6501
50.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
5016
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9127
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19553
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19212
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3393
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3213
119.1 IPS |
|
|
Text Classification (SP)
|
35% |
42
408.3 IPS |
|
|
Text Classification (HP)
|
35% |
56
505.2 IPS |
|
|
Text Classification (Q)
|
33% |
46
547.9 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
97% |
907
15.7 IPS |
|
|
Machine Translation (Q)
|
43% |
296
16.8 IPS |
