OnePlus 9 Pro
Geekbench AI Score
390
Single Precision Score
397
Half Precision Score
414
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
97% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
392
6.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
185
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
1005
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
992
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1237
9.53 IPS |
|
|
Depth Estimation (Q)
|
75% |
1173
9.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2166
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3688
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
3638
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
50
66.3 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.7 IPS |
|
|
Text Classification (Q)
|
91% |
95
127.7 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (Q)
|
57% |
71
1.74 IPS |
