realme RMX3921
Geekbench ML Score
308
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 02 2024 06:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3921 |
| Model ID | realme RMX3921 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
165
31.0 IPS |
|
|
Image Classification (F16)
|
100% |
249
46.6 IPS |
|
|
Image Classification (I8)
|
97% |
239
44.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
261
4.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
320
5.35 IPS |
|
|
Image Segmentation (I8)
|
98% |
320
5.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
199
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
298
0.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
300
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
140
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
178
13.3 IPS |
|
|
Object Detection (I8)
|
62% |
177
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.69 IPS |
|
|
Face Detection (F16)
|
97% |
628
7.46 IPS |
|
|
Face Detection (I8)
|
87% |
589
7.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
329
2.55 IPS |
|
|
Depth Estimation (F16)
|
100% |
516
4.00 IPS |
|
|
Depth Estimation (I8)
|
95% |
509
3.95 IPS |
|
|
Style Transfer (F32)
|
100% |
742
0.98 IPS |
|
|
Style Transfer (F16)
|
100% |
1339
1.76 IPS |
|
|
Style Transfer (I8)
|
98% |
1381
1.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
135
4.84 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
159
5.69 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
163
5.82 IPS |
|
|
Text Classification (F32)
|
100% |
166
238.9 IPS |
|
|
Text Classification (F16)
|
100% |
165
236.5 IPS |
|
|
Text Classification (I8)
|
92% |
321
461.6 IPS |
|
|
Machine Translation (F32)
|
100% |
301
5.54 IPS |
|
|
Machine Translation (F16)
|
100% |
299
5.51 IPS |
|
|
Machine Translation (I8)
|
64% |
386
7.11 IPS |
