Motorola Edge X30
Geekbench AI Score
1154
Single Precision Score
1150
Half Precision Score
2570
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 04:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
100% |
1859
345.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2001
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
5580
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
1687
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
95% |
3995
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2370
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2366
18.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4359
39.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4117
5.34 IPS |
|
|
Style Transfer (HP)
|
89% |
4091
5.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11554
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2895
107.3 IPS |
|
|
Text Classification (SP)
|
100% |
553
738.3 IPS |
|
|
Text Classification (HP)
|
100% |
550
734.4 IPS |
|
|
Text Classification (Q)
|
88% |
992
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
623
22.1 IPS |
