motorola XT2437-4
Geekbench AI Score
214
Single Precision Score
215
Half Precision Score
9596
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 11:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola XT2437-4 |
| Model ID | motorola XT2437-4 |
| Motherboard | paros |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
97% |
8799
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
6941
112.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
230
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
26246
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.92 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.95 IPS |
|
|
Object Detection (Q)
|
86% |
4305
346.2 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
25428
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
278
2.14 IPS |
|
|
Depth Estimation (Q)
|
63% |
19740
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
480
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
60033
77.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14100
522.5 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.0 IPS |
|
|
Text Classification (HP)
|
100% |
188
251.2 IPS |
|
|
Text Classification (Q)
|
93% |
3071
4.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
55% |
736
19.3 IPS |
