OnePlus 9 Pro
Geekbench AI Score
264
Single Precision Score
264
Half Precision Score
14081
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | August 14 2025 09:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 9 Pro |
| Model ID | OnePlus LE2123 |
| 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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.2 IPS |
|
|
Image Classification (Q)
|
99% |
11878
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
9876
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
99359
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
88% |
5582
447.1 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (Q)
|
97% |
26221
312.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
330
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
333
2.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
36171
333.0 IPS |
|
|
Style Transfer (SP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
545
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
140529
181.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30302
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
240
320.3 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.8 IPS |
|
|
Text Classification (Q)
|
94% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.3 IPS |
