realme RMX3760
Geekbench AI Score
386
Single Precision Score
384
Half Precision Score
715
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3760 |
| Model ID | realme RMX3760 |
| Motherboard | ums9230_hulk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
655
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
856
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1470
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (Q)
|
83% |
502
40.5 IPS |
|
|
Face Detection (SP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (Q)
|
95% |
1265
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1316
12.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1696
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1737
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3361
4.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
333
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
740
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.8 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.9 IPS |
|
|
Text Classification (Q)
|
88% |
248
335.1 IPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
50% |
136
4.83 IPS |
