motorola motorola edge 2024
Geekbench AI Score
675
Single Precision Score
681
Half Precision Score
1425
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 02:05 AM |
| Views | 6 |
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% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1679
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3779
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
1390
112.2 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3441
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1576
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3442
31.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3597
4.67 IPS |
|
|
Style Transfer (HP)
|
89% |
3593
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
6285
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.8 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.3 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.5 IPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
50% |
191
6.77 IPS |
