motorola motorola edge 2024
Geekbench AI Score
189
Single Precision Score
248
Half Precision Score
252
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 02:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
97% |
229
42.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
243
3.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
308
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.90 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
89% |
157
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.92 IPS |
|
|
Face Detection (Q)
|
97% |
535
6.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
327
2.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.94 IPS |
|
|
Depth Estimation (Q)
|
63% |
415
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1392
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1430
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
152
5.65 IPS |
|
|
Text Classification (SP)
|
100% |
52
69.1 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.0 IPS |
|
|
Text Classification (Q)
|
91% |
100
134.9 IPS |
|
|
Machine Translation (SP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (HP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (Q)
|
57% |
82
2.00 IPS |
