OnePlus 9
Geekbench AI Score
1001
Single Precision Score
1001
Half Precision Score
1764
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 21 2025 05:20 PM |
| Views | 4 |
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 LE2115 |
| 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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
100% |
1021
189.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1698
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2105
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3152
3.74 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.5 IPS |
|
|
Object Detection (Q)
|
83% |
1212
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
2933
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1908
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2786
25.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3484
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3502
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
7004
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1691
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
501
668.7 IPS |
|
|
Text Classification (HP)
|
100% |
500
667.5 IPS |
|
|
Text Classification (Q)
|
88% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
