OnePlus 9R
Geekbench AI Score
460
Single Precision Score
565
Half Precision Score
1964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | heyitsadi |
| Upload Date | October 07 2025 04:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
471
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
779
144.9 IPS |
|
|
Image Classification (Q)
|
97% |
1407
262.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1335
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1603
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6053
7.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
11623
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
85% |
1684
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.88 IPS |
|
|
Face Detection (Q)
|
97% |
3735
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
348
2.68 IPS |
|
|
Depth Estimation (Q)
|
63% |
6770
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
855
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4241
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5557
205.9 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.5 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.4 IPS |
|
|
Text Classification (Q)
|
93% |
150
201.6 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
54% |
261
7.36 IPS |
