realme RMX3938
Geekbench AI Score
344
Single Precision Score
339
Half Precision Score
611
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:38 PM |
| Views | 5 |
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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
100% |
430
79.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
577
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
1156
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
95% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
613
4.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1191
10.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1606
2.09 IPS |
|
|
Style Transfer (HP)
|
89% |
1592
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
2625
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.9 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.9 IPS |
|
|
Text Classification (Q)
|
88% |
199
268.6 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
50% |
125
4.45 IPS |
