realme RMX3350
Geekbench AI Score
655
Single Precision Score
665
Half Precision Score
1454
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 17 2026 04:22 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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
100% |
976
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1128
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1485
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1555
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2795
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
978
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2391
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1097
8.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1083
8.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
2468
22.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2912
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2903
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6390
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1455
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.6 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.1 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
50% |
387
13.7 IPS |
