motorola motorola edge (2022)
Geekbench AI Score
239
Single Precision Score
326
Half Precision Score
329
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
97% |
233
43.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
314
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
180
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
214
16.9 IPS |
|
|
Object Detection (Q)
|
92% |
207
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
417
4.96 IPS |
|
|
Face Detection (HP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (Q)
|
97% |
587
7.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
416
3.20 IPS |
|
|
Depth Estimation (Q)
|
72% |
384
3.18 IPS |
|
|
Style Transfer (SP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1020
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1017
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
204
7.54 IPS |
|
|
Text Classification (SP)
|
100% |
172
229.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (Q)
|
91% |
351
471.5 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
57% |
228
5.58 IPS |
