realme RMX3357
Geekbench AI Score
770
Single Precision Score
743
Half Precision Score
1650
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6893Z_A/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3357 |
| Model ID | realme RMX3357 |
| Motherboard | RM6893 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z_A/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 | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
1260
234.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1627
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1564
1.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3231
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
83% |
1071
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2713
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1182
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
1177
9.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
2810
25.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3301
4.29 IPS |
|
|
Style Transfer (HP)
|
89% |
3179
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7215
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
694
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1686
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.3 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.1 IPS |
|
|
Text Classification (Q)
|
88% |
720
971.7 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
