realme RMX3300
Geekbench AI Score
276
Single Precision Score
11138
Half Precision Score
28425
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | onion83 |
| Upload Date | April 30 2025 03:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
8289
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
23477
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19133
311.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
37288
43.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
224878
263.7 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
7833
621.3 IPS |
|
|
Object Detection (Q)
|
88% |
11956
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
18442
219.1 IPS |
|
|
Face Detection (Q)
|
97% |
71657
854.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
28172
217.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
62638
576.7 IPS |
|
|
Style Transfer (SP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
39316
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
215747
278.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21606
797.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54549
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
246
328.6 IPS |
|
|
Text Classification (HP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (Q)
|
94% |
4407
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (Q)
|
50% |
1225
42.4 IPS |
