Realme 7 Pro
Geekbench AI Score
174
Single Precision Score
259
Half Precision Score
261
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kot-ubitsa |
| Upload Date | March 08 2025 02:08 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
101
18.8 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
97% |
164
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
163
2.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
273
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
88
7.02 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
89% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
235
2.80 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
97% |
419
5.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
409
3.16 IPS |
|
|
Depth Estimation (Q)
|
62% |
334
3.16 IPS |
|
|
Style Transfer (SP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1009
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1001
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.22 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
192
7.12 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.9 IPS |
|
|
Text Classification (Q)
|
91% |
271
363.6 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
