motorola motorola razr plus 2024
Geekbench AI Score
918
Single Precision Score
738
Half Precision Score
1262
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
1230
228.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
856
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1417
1.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
2443
2.90 IPS |
|
|
Object Detection (SP)
|
98% |
496
39.5 IPS |
|
|
Object Detection (HP)
|
98% |
497
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
821
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
1680
20.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1171
9.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1103
8.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
3711
34.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2726
3.54 IPS |
|
|
Style Transfer (HP)
|
89% |
2748
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
4743
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1176
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.7 IPS |
|
|
Text Classification (HP)
|
99% |
270
360.9 IPS |
|
|
Text Classification (Q)
|
88% |
444
598.7 IPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
