OnePlus CPH2583
Geekbench AI Score
998
Single Precision Score
1340
Half Precision Score
1280
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| 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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2564
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (Q)
|
87% |
828
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
1679
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1831
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3753
29.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3123
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6779
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
10874
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10787
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1528
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.3 IPS |
|
|
Text Classification (HP)
|
100% |
306
407.9 IPS |
|
|
Text Classification (Q)
|
91% |
494
664.3 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
