Realme GT 5G
Geekbench AI Score
323
Single Precision Score
325
Half Precision Score
655
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | BadHabitMarco |
| Upload Date | November 04 2024 11:44 AM |
| Views | 7 |
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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
505
94.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1131
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
83% |
476
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (Q)
|
95% |
928
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
548
4.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1062
9.73 IPS |
|
|
Style Transfer (SP)
|
89% |
1141
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1148
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2368
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
311
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (Q)
|
88% |
272
366.2 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
163
5.80 IPS |
