motorola motorola edge 50 fusion
Geekbench AI Score
334
Single Precision Score
338
Half Precision Score
666
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 03:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
495
92.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
1197
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
83% |
522
42.2 IPS |
|
|
Face Detection (SP)
|
100% |
403
4.79 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
95% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1145
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1267
1.65 IPS |
|
|
Style Transfer (HP)
|
89% |
1282
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
2753
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
688
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.2 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.7 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
50% |
188
6.69 IPS |
