OnePlus CPH2581
Geekbench AI Score
1053
Single Precision Score
1439
Half Precision Score
1365
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 05:22 PM |
| Views | 6 |
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% |
562
104.5 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (Q)
|
99% |
480
89.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2534
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.5 IPS |
|
|
Object Detection (Q)
|
89% |
813
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (Q)
|
97% |
2274
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1817
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3720
28.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
3464
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6728
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
10804
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10728
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1523
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.9 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.5 IPS |
|
|
Text Classification (Q)
|
91% |
687
923.6 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.68 IPS |
