motorola motorola edge 30 fusion
Geekbench AI Score
725
Single Precision Score
624
Half Precision Score
1137
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 30 fusion |
| Model ID | motorola motorola edge 30 fusion |
| Motherboard | tundra |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
100% |
1288
239.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1512
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
2642
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
83% |
1081
87.4 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2619
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1712
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2502
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3095
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3156
4.10 IPS |
|
|
Style Transfer (Q)
|
98% |
6238
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.3 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.2 IPS |
|
|
Text Classification (Q)
|
88% |
230
310.8 IPS |
|
|
Machine Translation (SP)
|
100% |
212
3.66 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
50% |
134
4.76 IPS |
