OnePlus 8 Pro
Geekbench AI Score
380
Single Precision Score
641
Half Precision Score
652
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 11:04 AM |
| Views | 7 |
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 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
97% |
374
69.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
624
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
977
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
89% |
297
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
1166
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
1104
8.53 IPS |
|
|
Depth Estimation (Q)
|
62% |
900
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1114
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2853
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2813
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
610
22.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
563
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (HP)
|
100% |
226
301.3 IPS |
|
|
Text Classification (Q)
|
91% |
386
519.2 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
57% |
322
7.88 IPS |
