OnePlus 8 Pro
Geekbench AI Score
438
Single Precision Score
522
Half Precision Score
1957
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 11:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus 8 Pro |
| Model ID | OnePlus IN2023 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (Q)
|
97% |
1506
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5431
6.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
11524
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1697
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
3787
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
536
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
334
2.57 IPS |
|
|
Depth Estimation (Q)
|
63% |
6751
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4001
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5463
202.4 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.2 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (Q)
|
93% |
157
211.3 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (Q)
|
54% |
242
6.82 IPS |
