OnePlus CPH2581
Geekbench AI Score
852
Single Precision Score
1246
Half Precision Score
1167
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 11:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2581 |
| Model ID | OnePlus CPH2581 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
99% |
538
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2543
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
680
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (Q)
|
89% |
811
64.9 IPS |
|
|
Face Detection (SP)
|
100% |
1823
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
1865
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1829
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3702
28.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
3475
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6719
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10784
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10464
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1230
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.1 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.4 IPS |
|
|
Text Classification (Q)
|
91% |
214
287.8 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.66 IPS |
