realme RMX3151
Geekbench AI Score
445
Single Precision Score
439
Half Precision Score
814
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 02:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6781V/CDZAMB-H |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3151 |
| Model ID | realme RMX3151 |
| Motherboard | RM6781 |
| CPU Information | |
|---|---|
| Name | ARM MT6781V/CDZAMB-H |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
203
37.8 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
677
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
985
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
940
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1394
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
640
7.60 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
95% |
1273
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
833
6.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
815
6.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1286
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1547
2.01 IPS |
|
|
Style Transfer (HP)
|
89% |
1586
2.06 IPS |
|
|
Style Transfer (Q)
|
98% |
3014
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
217
290.1 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.7 IPS |
|
|
Text Classification (Q)
|
88% |
396
533.9 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
274
9.73 IPS |
