realme RMX3357
Geekbench AI Score
373
Single Precision Score
491
Half Precision Score
499
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
99% |
253
47.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
634
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
337
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1388
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
684
5.27 IPS |
|
|
Depth Estimation (Q)
|
62% |
552
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1146
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1775
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
1766
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.7 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.7 IPS |
|
|
Text Classification (Q)
|
91% |
352
472.5 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
