OnePlus 9 Pro
Geekbench AI Score
340
Single Precision Score
323
Half Precision Score
718
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Kyanisforreal |
| Upload Date | September 05 2025 06:46 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 9 Pro |
| Model ID | OnePlus LE2125 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
185
34.3 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.2 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
538
8.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1245
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1180
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
598
48.3 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
95% |
1759
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
517
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1650
15.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1119
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2344
3.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.1 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (Q)
|
88% |
284
383.5 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.67 IPS |
