OnePlus 9
Geekbench AI Score
614
Single Precision Score
642
Half Precision Score
639
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 01:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 9 |
| Model ID | OnePlus LE2117 |
| 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% |
391
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
97% |
380
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
413
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
89% |
287
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1270
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.43 IPS |
|
|
Depth Estimation (Q)
|
62% |
977
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
2165
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3683
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3652
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.1 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (Q)
|
91% |
461
619.8 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
346
8.46 IPS |
