motorola motorola razr plus 2024
Geekbench AI Score
886
Single Precision Score
836
Half Precision Score
1290
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1406
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
100% |
2296
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
985
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2764
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1373
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
2454
2.91 IPS |
|
|
Object Detection (SP)
|
98% |
482
38.3 IPS |
|
|
Object Detection (HP)
|
98% |
1086
86.4 IPS |
|
|
Object Detection (Q)
|
83% |
924
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1849
22.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1079
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
1222
9.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
1918
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2799
3.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2790
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4711
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (HP)
|
99% |
273
363.8 IPS |
|
|
Text Classification (Q)
|
88% |
405
545.7 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
