OnePlus 8
Geekbench AI Score
285
Single Precision Score
456
Half Precision Score
455
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 12:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
256
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
97% |
369
68.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
325
5.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
786
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
89% |
285
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
637
7.57 IPS |
|
|
Face Detection (HP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
1289
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.90 IPS |
|
|
Depth Estimation (Q)
|
62% |
932
8.82 IPS |
|
|
Style Transfer (SP)
|
100% |
1120
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
2912
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2921
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.6 IPS |
|
|
Text Classification (HP)
|
100% |
55
73.7 IPS |
|
|
Text Classification (Q)
|
91% |
96
128.8 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.60 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.79 IPS |
