Motorola Edge X30
Geekbench AI Score
691
Single Precision Score
1074
Half Precision Score
1062
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
552
102.6 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.1 IPS |
|
|
Image Classification (Q)
|
97% |
783
146.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
718
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
1289
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
89% |
683
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
2404
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
2501
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2018
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2770
3.56 IPS |
|
|
Style Transfer (HP)
|
100% |
6154
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6207
8.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
218
290.6 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.6 IPS |
|
|
Text Classification (Q)
|
91% |
396
532.7 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.07 IPS |
