realme RMX3350
Geekbench AI Score
693
Single Precision Score
750
Half Precision Score
1596
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 17 2026 05:00 PM |
| Views | 3 |
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% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
100% |
1208
224.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1304
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3091
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
83% |
967
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
2906
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1074
8.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
2895
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3300
4.28 IPS |
|
|
Style Transfer (HP)
|
89% |
3282
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6371
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1499
55.5 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.0 IPS |
|
|
Text Classification (HP)
|
100% |
384
512.6 IPS |
|
|
Text Classification (Q)
|
88% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
379
13.4 IPS |
