OnePlus 9 Pro
Geekbench AI Score
287
Single Precision Score
283
Half Precision Score
14100
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 23 2025 06:00 PM |
| Views | 1 |
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 | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
99% |
10530
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
10097
164.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
99223
116.3 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
88% |
6139
491.8 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
97% |
23335
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
354
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
35360
325.5 IPS |
|
|
Style Transfer (SP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (Q)
|
98% |
139061
179.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
29222
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.7 IPS |
|
|
Text Classification (Q)
|
94% |
2523
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
387
6.67 IPS |
|
|
Machine Translation (Q)
|
50% |
567
19.6 IPS |
