OnePlus 8
Geekbench AI Score
428
Single Precision Score
523
Half Precision Score
2025
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 12:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus 8 |
| Model ID | OnePlus IN2011 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.9 IPS |
|
|
Image Classification (Q)
|
97% |
1513
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
1390
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1426
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5547
6.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11851
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
85% |
1790
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
97% |
4107
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
323
2.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
6979
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4084
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5834
216.2 IPS |
|
|
Text Classification (SP)
|
71% |
10
15.1 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.0 IPS |
|
|
Text Classification (Q)
|
93% |
177
237.6 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.19 IPS |
|
|
Machine Translation (Q)
|
54% |
216
6.08 IPS |
