motorola motorola edge 50 fusion
Geekbench AI Score
328
Single Precision Score
329
Half Precision Score
650
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:36 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 50 fusion |
| Model ID | motorola motorola edge 50 fusion |
| Motherboard | cuscoi |
| 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 | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
100% |
512
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
1305
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
439
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (Q)
|
95% |
901
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
559
4.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1097
10.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1273
1.65 IPS |
|
|
Style Transfer (HP)
|
89% |
1258
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2694
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
678
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.1 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.5 IPS |
|
|
Text Classification (Q)
|
88% |
274
369.6 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
50% |
178
6.31 IPS |
