realme RMX3350
Geekbench AI Score
714
Single Precision Score
736
Half Precision Score
1625
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 17 2026 05:07 PM |
| Views | 2 |
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% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
100% |
1212
225.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1259
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1615
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
3226
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
83% |
1071
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2732
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1189
9.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
2825
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3322
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3339
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7300
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1692
62.7 IPS |
|
|
Text Classification (SP)
|
100% |
395
526.6 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.9 IPS |
|
|
Text Classification (Q)
|
88% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
