OnePlus CPH2583
Geekbench AI Score
824
Single Precision Score
1363
Half Precision Score
1158
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 07 2025 09:47 AM |
| Views | 14 |
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% |
599
111.4 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.5 IPS |
|
|
Image Classification (Q)
|
96% |
835
156.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1400
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
87% |
598
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
2809
33.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1807
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3463
26.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2831
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6742
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10808
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10583
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.8 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.1 IPS |
|
|
Text Classification (Q)
|
91% |
188
252.1 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.65 IPS |
