realme RMX3741
Geekbench AI Score
230
Single Precision Score
302
Half Precision Score
305
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | zlocorp |
| Upload Date | October 04 2024 09:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3741 |
| Model ID | realme RMX3741 |
| Motherboard | RM6877 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
99% |
150
27.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
391
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
162
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
189
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
178
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
485
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
683
8.12 IPS |
|
|
Face Detection (Q)
|
97% |
622
7.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
307
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
394
3.04 IPS |
|
|
Depth Estimation (Q)
|
62% |
317
3.00 IPS |
|
|
Style Transfer (SP)
|
100% |
621
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
874
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
225
8.35 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.4 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (Q)
|
91% |
355
477.5 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
