motorola motorola edge 2024
Geekbench AI Score
670
Single Precision Score
667
Half Precision Score
1451
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 05:33 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 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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
100% |
1449
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3776
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1390
112.3 IPS |
|
|
Face Detection (SP)
|
100% |
1098
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3409
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1582
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3431
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3560
4.62 IPS |
|
|
Style Transfer (HP)
|
89% |
3637
4.72 IPS |
|
|
Style Transfer (Q)
|
98% |
7942
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
681
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (Q)
|
88% |
282
380.9 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
50% |
183
6.50 IPS |
