motorola motorola razr plus 2024
Geekbench AI Score
430
Single Precision Score
419
Half Precision Score
26153
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Michaelandroid |
| Upload Date | August 29 2025 04:59 PM |
| Views | 9 |
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% |
278
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
285
52.9 IPS |
|
|
Image Classification (Q)
|
97% |
24962
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
18209
296.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (Q)
|
98% |
140466
164.4 IPS |
|
|
Object Detection (SP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
86% |
10954
880.8 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
60334
719.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
541
4.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
55050
515.5 IPS |
|
|
Style Transfer (SP)
|
100% |
813
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
203782
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
35906
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
383
511.3 IPS |
|
|
Text Classification (HP)
|
100% |
403
537.9 IPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
55% |
1574
41.2 IPS |
