Realme 7 5G
Geekbench AI Score
516
Single Precision Score
516
Half Precision Score
965
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 06:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
705
131.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1614
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
226
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
647
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
95% |
1476
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
927
7.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1488
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1847
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1850
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3696
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.4 IPS |
|
|
Text Classification (HP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (Q)
|
88% |
504
679.2 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
