Motorola Edge X30
Geekbench AI Score
1159
Single Precision Score
1156
Half Precision Score
2642
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Motorola Edge X30 |
| Model ID | motorola XT2201-2 |
| Motherboard | hiphic |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
100% |
1885
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2036
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2607
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2593
3.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
5589
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
87% |
1755
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
95% |
4053
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2375
18.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2372
18.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
4930
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4123
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4096
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11614
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2937
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
550
734.3 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
654
23.2 IPS |
