motorola motorola razr 2024
Geekbench AI Score
905
Single Precision Score
903
Half Precision Score
1931
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 03:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola razr 2024 |
| Model ID | motorola motorola razr 2024 |
| 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 @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
100% |
1467
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1708
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3539
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1313
106.1 IPS |
|
|
Face Detection (SP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3251
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1520
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1527
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3210
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3481
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3492
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8041
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1919
71.1 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.6 IPS |
|
|
Text Classification (HP)
|
100% |
478
638.2 IPS |
|
|
Text Classification (Q)
|
88% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.5 IPS |
