OnePlus 8 Pro
Geekbench AI Score
745
Single Precision Score
1215
Half Precision Score
1117
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 05:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus 8 Pro |
| Model ID | OnePlus IN2025 |
| 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% |
532
98.9 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (Q)
|
99% |
734
136.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1388
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3695
4.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6447
7.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
6307
7.39 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
99% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
85% |
613
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
1516
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
2442
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1740
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2475
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2120
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4293
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
8786
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8849
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1393
51.6 IPS |
|
|
Text Classification (SP)
|
35% |
26
255.0 IPS |
|
|
Text Classification (HP)
|
35% |
42
381.4 IPS |
|
|
Text Classification (Q)
|
35% |
40
365.9 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
97% |
411
7.10 IPS |
|
|
Machine Translation (Q)
|
64% |
303
6.22 IPS |
