OnePlus 9 Pro
Geekbench AI Score
301
Single Precision Score
300
Half Precision Score
712
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:21 PM |
| Views | 13 |
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 LE2125 |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
97% |
497
92.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
272
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1035
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
89% |
566
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (Q)
|
97% |
1019
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
73% |
1110
9.08 IPS |
|
|
Style Transfer (SP)
|
100% |
634
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1574
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
203
7.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.2 IPS |
|
|
Text Classification (Q)
|
91% |
453
609.1 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
57% |
340
8.31 IPS |
