Realme GT 5G
Geekbench AI Score
717
Single Precision Score
704
Half Precision Score
1206
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 12:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Realme GT 5G |
| Model ID | realme RMX2202 |
| Motherboard | lahaina |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
100% |
1235
229.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1485
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
2767
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
83% |
1116
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1223
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2773
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1660
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1627
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2541
23.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3041
3.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3049
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6555
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
606
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
154
206.1 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (Q)
|
88% |
275
370.6 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
50% |
150
5.34 IPS |
