realme RMX3151
Geekbench AI Score
448
Single Precision Score
448
Half Precision Score
832
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 01:48 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
676
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1020
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1440
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
581
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.78 IPS |
|
|
Face Detection (Q)
|
95% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
835
6.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
1294
11.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1581
2.05 IPS |
|
|
Style Transfer (HP)
|
89% |
1487
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3007
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
404
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
219
292.4 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.7 IPS |
|
|
Text Classification (Q)
|
88% |
407
548.8 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
