Realme 7 Pro
Geekbench AI Score
508
Single Precision Score
500
Half Precision Score
990
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Realme 7 Pro |
| Model ID | realme RMX2170 |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.2 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1705
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
95% |
1533
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
925
7.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
875
6.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
1557
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1692
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1874
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3894
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
942
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.1 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.9 IPS |
|
|
Text Classification (Q)
|
88% |
513
692.3 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
