motorola motorola razr plus 2024
Geekbench AI Score
381
Single Precision Score
365
Half Precision Score
820
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
263
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
99% |
689
128.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
688
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
1608
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
87% |
498
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
97% |
1391
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
547
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
524
4.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1213
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2136
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
776
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.5 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.0 IPS |
|
|
Text Classification (Q)
|
91% |
278
373.9 IPS |
|
|
Machine Translation (SP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
57% |
468
11.4 IPS |
