motorola motorola razr plus 2024
Geekbench AI Score
375
Single Precision Score
349
Half Precision Score
31747
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KIP603 |
| Upload Date | January 04 2026 05:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (Q)
|
96% |
26227
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
23620
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
147022
172.1 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
86% |
15303
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (Q)
|
97% |
54841
654.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
481
3.71 IPS |
|
|
Depth Estimation (Q)
|
63% |
74090
697.8 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
679
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
226368
291.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
205
7.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
52230
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
187
249.5 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.8 IPS |
|
|
Text Classification (Q)
|
93% |
8049
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1930
50.6 IPS |
