OnePlus 8 Pro
Geekbench AI Score
1081
Single Precision Score
1075
Half Precision Score
2085
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 10:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
542
100.8 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
100% |
1483
275.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2146
2.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
3693
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
83% |
1448
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
3417
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1703
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3462
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3921
5.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3871
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8661
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2094
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.5 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.8 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
