realme RMX3350
Geekbench AI Score
804
Single Precision Score
803
Half Precision Score
1713
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 17 2026 05:20 PM |
| Views | 4 |
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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
100% |
1411
262.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1586
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1741
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3231
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
83% |
1078
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
2706
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1236
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
2779
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3290
4.27 IPS |
|
|
Style Transfer (HP)
|
89% |
3305
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7199
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1672
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.6 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.3 IPS |
|
|
Text Classification (Q)
|
88% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
