motorola motorola edge (2022)
Geekbench AI Score
615
Single Precision Score
609
Half Precision Score
1197
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge (2022) |
| Model ID | motorola motorola edge (2022) |
| Motherboard | tesla |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
100% |
793
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
905
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1216
1.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
1928
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
87% |
785
63.0 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
95% |
1903
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1218
9.38 IPS |
|
|
Depth Estimation (HP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (Q)
|
75% |
2025
16.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2186
2.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2177
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
4523
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1081
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
327
437.0 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.5 IPS |
|
|
Text Classification (Q)
|
88% |
698
941.3 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.0 IPS |
