OnePlus CPH2581
Geekbench AI Score
1133
Single Precision Score
1787
Half Precision Score
1772
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:37 AM |
| Views | 11 |
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% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
96% |
824
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2208
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2547
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
699
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
1024
81.3 IPS |
|
|
Object Detection (Q)
|
87% |
1000
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
3167
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3614
27.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3024
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6749
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
10806
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10567
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1488
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.6 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.8 IPS |
|
|
Text Classification (Q)
|
91% |
738
991.9 IPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
57% |
594
14.5 IPS |
