OnePlus 8
Geekbench AI Score
333
Single Precision Score
341
Half Precision Score
636
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 8 |
| Model ID | OnePlus IN2013 |
| 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% |
195
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.8 IPS |
|
|
Image Classification (Q)
|
100% |
477
88.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
682
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
1104
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
83% |
491
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (Q)
|
95% |
951
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
570
4.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
563
4.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1052
9.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1184
1.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1182
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2599
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.0 IPS |
|
|
Text Classification (Q)
|
88% |
278
375.0 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.98 IPS |
