motorola motorola razr 2025
Geekbench AI Score
887
Single Precision Score
875
Half Precision Score
1911
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nebulizer1250 |
| Upload Date | June 04 2025 10:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr 2025 |
| Model ID | motorola motorola razr 2025 |
| Motherboard | aito |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (HP)
|
100% |
481
89.4 IPS |
|
|
Image Classification (Q)
|
100% |
1526
283.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1765
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3542
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
1331
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
3243
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1478
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1426
11.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3089
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3339
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3352
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7719
9.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1813
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.8 IPS |
|
|
Text Classification (HP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (Q)
|
88% |
859
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
