OnePlus CPH2583
Geekbench AI Score
2272
Single Precision Score
2199
Half Precision Score
3617
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | January 27 2025 10:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (Q)
|
100% |
3235
601.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3984
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4050
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3929
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
9012
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1778
141.5 IPS |
|
|
Object Detection (HP)
|
98% |
1492
118.8 IPS |
|
|
Object Detection (Q)
|
83% |
2266
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
5283
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2924
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2815
21.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5472
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8028
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8069
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16155
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4010
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.9 IPS |
|
|
Text Classification (HP)
|
99% |
753
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1135
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
686
24.4 IPS |
