OnePlus 8 Pro
Geekbench AI Score
1167
Single Precision Score
1163
Half Precision Score
2114
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 12:01 PM |
| Views | 2 |
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% |
536
99.7 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
3815
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
83% |
1454
117.4 IPS |
|
|
Face Detection (SP)
|
100% |
1683
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (Q)
|
95% |
3464
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2047
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2034
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3487
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4260
5.53 IPS |
|
|
Style Transfer (HP)
|
89% |
4261
5.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8883
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1201
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2121
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.7 IPS |
|
|
Text Classification (HP)
|
100% |
576
769.3 IPS |
|
|
Text Classification (Q)
|
88% |
948
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
50% |
588
20.9 IPS |
