Motorola Edge X30
Geekbench AI Score
1299
Single Precision Score
2175
Half Precision Score
1919
Quantized Score
Geekbench AI 1.7.0 Corporate for Android AArch64
Result Information
| Upload Date | February 11 2026 06:29 AM |
| Views | 6 |
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 | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
958
178.2 IPS |
|
|
Image Classification (HP)
|
100% |
1506
280.1 IPS |
|
|
Image Classification (Q)
|
99% |
1299
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
11522
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11237
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
99% |
1203
95.4 IPS |
|
|
Object Detection (Q)
|
85% |
1080
86.9 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (Q)
|
97% |
4009
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3085
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5377
41.6 IPS |
|
|
Depth Estimation (Q)
|
65% |
4378
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7090
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
14032
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13936
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2631
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2769
102.6 IPS |
|
|
Text Classification (SP)
|
35% |
46
446.5 IPS |
|
|
Text Classification (HP)
|
35% |
63
571.7 IPS |
|
|
Text Classification (Q)
|
35% |
61
555.9 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
97% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
64% |
445
9.15 IPS |
