realme RMX3300
Geekbench AI Score
642
Single Precision Score
889
Half Precision Score
882
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | April 30 2025 02:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3300 |
| Model ID | realme RMX3300 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
634
117.9 IPS |
|
|
Image Classification (Q)
|
97% |
377
70.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1159
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1278
1.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
1289
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
89% |
685
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1463
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1088
8.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
2265
17.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1828
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2751
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
6068
7.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6150
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
367
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (Q)
|
91% |
301
405.2 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
57% |
341
8.33 IPS |
