OnePlus 9
Geekbench AI Score
793
Single Precision Score
776
Half Precision Score
1325
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 9 |
| Model ID | OnePlus LE2113 |
| Motherboard | lahaina |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
100% |
1327
246.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
3178
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
1321
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3149
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1893
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1847
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3055
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3545
4.60 IPS |
|
|
Style Transfer (HP)
|
89% |
3535
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
7368
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1054
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.2 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (Q)
|
88% |
278
375.0 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.64 IPS |
