OnePlus CPH2581
Geekbench AI Score
871
Single Precision Score
1233
Half Precision Score
1193
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | F0xMaster |
| Upload Date | September 16 2024 10:41 PM |
| Views | 4 |
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% |
559
104.0 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
96% |
483
90.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1398
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2563
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2550
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
87% |
857
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1668
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1821
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3620
28.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3061
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6729
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
10720
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10402
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.3 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.1 IPS |
|
|
Text Classification (Q)
|
91% |
216
290.2 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
57% |
234
5.71 IPS |
