Realme 7 Pro
Geekbench AI Score
513
Single Precision Score
514
Half Precision Score
1005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kot-ubitsa |
| Upload Date | March 08 2025 02:35 AM |
| Views | 8 |
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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
684
127.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1142
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1708
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (Q)
|
95% |
1565
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
932
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
897
6.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1591
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1869
2.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1906
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3883
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
970
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.8 IPS |
|
|
Text Classification (Q)
|
88% |
536
722.7 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
