realme RMX3350
Geekbench AI Score
751
Single Precision Score
721
Half Precision Score
1621
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | April 30 2025 11:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6893Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3350 |
| Model ID | realme RMX3350 |
| Motherboard | RM6893 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
100% |
1147
213.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1234
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3231
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
1030
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (Q)
|
95% |
2705
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1188
9.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1183
9.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
2826
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3148
4.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3153
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
7213
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1687
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.0 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (Q)
|
88% |
743
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
