motorola motorola razr plus 2024
Geekbench AI Score
1669
Single Precision Score
2616
Half Precision Score
2104
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | September 15 2025 03:10 AM |
| Views | 8 |
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% |
1172
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (Q)
|
100% |
1419
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7188
8.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
12956
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12777
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (HP)
|
99% |
1427
113.2 IPS |
|
|
Object Detection (Q)
|
87% |
1306
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (Q)
|
97% |
5687
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3861
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6568
50.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
4977
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9071
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19346
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3369
124.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3143
116.5 IPS |
|
|
Text Classification (SP)
|
35% |
50
482.1 IPS |
|
|
Text Classification (HP)
|
35% |
62
564.8 IPS |
|
|
Text Classification (Q)
|
33% |
50
596.8 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
97% |
802
13.9 IPS |
|
|
Machine Translation (Q)
|
43% |
296
16.8 IPS |
