realme RMX3938
Geekbench AI Score
379
Single Precision Score
384
Half Precision Score
726
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 03:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3938 |
| Model ID | realme RMX3938 |
| Motherboard | ums9230_latte |
| Governor | uscfreq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 8 Cores @ 1.82 GHz |
| Memory Information | |
|---|---|
| Size | 2.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
100% |
512
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
660
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
849
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
1489
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
83% |
500
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (HP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (Q)
|
95% |
1273
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
654
5.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1363
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1683
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1710
2.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3605
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
774
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
188
251.3 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.7 IPS |
|
|
Text Classification (Q)
|
88% |
238
321.1 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
50% |
141
4.99 IPS |
