OnePlus 9R
Geekbench AI Score
723
Single Precision Score
763
Half Precision Score
1536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | heyitsadi |
| Upload Date | October 07 2025 04:15 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 9R |
| Model ID | OnePlus LE2101 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1407
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
2309
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
83% |
1255
101.4 IPS |
|
|
Face Detection (SP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1317
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
3138
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1593
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1506
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2812
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3040
3.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3033
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
6440
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2003
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.2 IPS |
|
|
Text Classification (Q)
|
88% |
942
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
452
16.0 IPS |
