motorola motorola edge plus 2023
Geekbench AI Score
837
Single Precision Score
847
Half Precision Score
1470
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge plus 2023 |
| Model ID | motorola motorola edge plus 2023 |
| Motherboard | rtwo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
100% |
1122
208.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
589
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1583
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1613
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
3618
4.29 IPS |
|
|
Object Detection (SP)
|
98% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
98% |
561
44.7 IPS |
|
|
Object Detection (Q)
|
83% |
1040
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2101
25.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1438
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1473
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2394
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3436
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3312
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5933
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1532
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.4 IPS |
|
|
Text Classification (HP)
|
99% |
317
423.5 IPS |
|
|
Text Classification (Q)
|
88% |
540
728.5 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
50% |
373
13.2 IPS |
