realme RMX3938
Geekbench AI Score
304
Single Precision Score
299
Half Precision Score
554
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
100% |
437
81.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
571
9.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
695
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1230
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
83% |
347
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (Q)
|
95% |
967
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
947
8.68 IPS |
|
|
Style Transfer (SP)
|
89% |
1422
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1458
1.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2519
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.1 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.8 IPS |
|
|
Text Classification (Q)
|
88% |
184
248.3 IPS |
|
|
Machine Translation (SP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.45 IPS |
