OnePlus 9R
Geekbench AI Score
960
Single Precision Score
957
Half Precision Score
1985
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:42 PM |
| Views | 1 |
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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (Q)
|
100% |
1479
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1827
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3282
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1447
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
95% |
3320
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3305
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3395
4.41 IPS |
|
|
Style Transfer (HP)
|
89% |
3377
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
7801
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2041
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
562
750.1 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.1 IPS |
|
|
Text Classification (Q)
|
88% |
927
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.6 IPS |
