OnePlus CPH2583
Geekbench AI Score
930
Single Precision Score
1503
Half Precision Score
1437
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | January 27 2025 10:28 AM |
| Views | 13 |
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% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
890
165.5 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1976
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2557
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.0 IPS |
|
|
Object Detection (Q)
|
87% |
906
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
3003
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1831
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3632
28.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3009
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6733
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
10807
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10603
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1466
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.4 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.8 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.7 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.78 IPS |
