OnePlus 8 Pro
Geekbench AI Score
252
Single Precision Score
251
Half Precision Score
1005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (Q)
|
96% |
1179
220.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1233
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
13308
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
84% |
1335
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (Q)
|
97% |
2013
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
323
2.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
5620
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
603
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
18863
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.1 IPS |
|
|
Text Classification (Q)
|
93% |
318
427.4 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.02 IPS |
