OnePlus CPH2583
Geekbench AI Score
316
Single Precision Score
300
Half Precision Score
661
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jonte90 |
| Upload Date | August 23 2025 03:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
99% |
686
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
664
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1010
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
87% |
419
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (Q)
|
97% |
910
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
436
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
820
7.44 IPS |
|
|
Style Transfer (SP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1782
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
226
8.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
586
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
212
283.4 IPS |
|
|
Text Classification (HP)
|
100% |
213
284.9 IPS |
|
|
Text Classification (Q)
|
91% |
349
468.8 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.48 IPS |
