motorola motorola edge 30 ultra
Geekbench AI Score
1176
Single Precision Score
1175
Half Precision Score
2663
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 30 ultra |
| Model ID | motorola motorola edge 30 ultra |
| Motherboard | eqs |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.2 IPS |
|
|
Image Classification (Q)
|
100% |
2050
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2229
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2723
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5575
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
1793
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
95% |
4028
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2314
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2304
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4346
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4085
5.30 IPS |
|
|
Style Transfer (HP)
|
89% |
4084
5.30 IPS |
|
|
Style Transfer (Q)
|
98% |
11526
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1282
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2896
107.3 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.9 IPS |
|
|
Text Classification (HP)
|
100% |
562
750.1 IPS |
|
|
Text Classification (Q)
|
88% |
1044
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
646
22.9 IPS |
