motorola motorola edge 2024
Geekbench AI Score
756
Single Precision Score
749
Half Precision Score
1640
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 08 2025 03:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 2024 |
| Model ID | motorola motorola edge 2024 |
| Motherboard | avatrn |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3774
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
1387
112.0 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3412
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1495
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3432
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3684
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3709
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
8582
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2039
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.2 IPS |
|
|
Text Classification (Q)
|
88% |
280
378.2 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.97 IPS |
|
|
Machine Translation (Q)
|
50% |
192
6.82 IPS |
