OnePlus 9 Pro
Geekbench AI Score
784
Single Precision Score
776
Half Precision Score
1298
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | hgpot |
| Upload Date | August 30 2024 01:09 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2106
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
3142
3.73 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
87% |
1165
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1360
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
2905
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1856
14.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
1842
14.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3093
25.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3486
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3464
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
6974
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.1 IPS |
|
|
Text Classification (HP)
|
100% |
168
223.8 IPS |
|
|
Text Classification (Q)
|
88% |
274
369.7 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.65 IPS |
