Realme 7 5G
Geekbench AI Score
199
Single Precision Score
271
Half Precision Score
267
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 06:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 800U |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Realme 7 5G |
| Model ID | realme RMX2111 |
| Motherboard | RM6853 |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/TNZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
99% |
210
39.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
308
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
136
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
158
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
83% |
177
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
97% |
532
6.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (Q)
|
62% |
263
2.49 IPS |
|
|
Style Transfer (SP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
696
0.90 IPS |
|
|
Style Transfer (Q)
|
98% |
695
0.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
177
6.54 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.4 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (Q)
|
91% |
273
366.5 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
57% |
220
5.38 IPS |
