OnePlus CPH2583
Geekbench AI Score
967
Single Precision Score
1524
Half Precision Score
1487
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | March 24 2025 09:04 AM |
| Views | 11 |
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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (Q)
|
96% |
834
155.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1985
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2555
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (Q)
|
87% |
984
79.0 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
2955
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1832
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3664
28.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3049
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6729
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
10814
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10591
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.2 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.3 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.7 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.11 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.10 IPS |
