OnePlus 9 Pro
Geekbench AI Score
292
Single Precision Score
293
Half Precision Score
14190
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | August 20 2025 08:17 AM |
| Views | 9 |
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% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
10781
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
9727
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
273
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
102996
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (Q)
|
88% |
5681
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (Q)
|
97% |
31851
379.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
351
2.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
35596
327.7 IPS |
|
|
Style Transfer (SP)
|
100% |
630
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
134376
173.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
29974
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
283
377.6 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (Q)
|
94% |
2322
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
509
17.6 IPS |
