OnePlus 8 Pro
Geekbench AI Score
1110
Single Precision Score
1103
Half Precision Score
2065
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 05:51 PM |
| Views | 1 |
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 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% |
489
91.0 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1400
260.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
3797
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
1429
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
3379
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2066
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3456
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4133
5.37 IPS |
|
|
Style Transfer (HP)
|
89% |
4171
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
8685
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (HP)
|
100% |
550
733.9 IPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
