OnePlus 9 Pro
Geekbench AI Score
52
Single Precision Score
53
Half Precision Score
133
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 02:31 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
29
5.45 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.56 IPS |
|
|
Image Classification (Q)
|
97% |
84
15.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
56
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
56
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
245
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.46 IPS |
|
|
Object Detection (HP)
|
100% |
31
2.50 IPS |
|
|
Object Detection (Q)
|
89% |
99
7.94 IPS |
|
|
Face Detection (SP)
|
100% |
72
0.86 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.87 IPS |
|
|
Face Detection (Q)
|
97% |
194
2.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
69
0.53 IPS |
|
|
Depth Estimation (HP)
|
100% |
70
0.54 IPS |
|
|
Depth Estimation (Q)
|
73% |
185
1.52 IPS |
|
|
Style Transfer (SP)
|
100% |
126
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
124
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
339
0.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38
1.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38
1.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
142
5.24 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.1 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.8 IPS |
|
|
Text Classification (Q)
|
91% |
95
127.6 IPS |
|
|
Machine Translation (SP)
|
100% |
78
1.34 IPS |
|
|
Machine Translation (HP)
|
100% |
78
1.35 IPS |
|
|
Machine Translation (Q)
|
57% |
68
1.67 IPS |
