OnePlus CPH2613
Geekbench AI Score
996
Single Precision Score
990
Half Precision Score
2133
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 04:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2613 |
| Model ID | OnePlus CPH2613 |
| Motherboard | crow |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 7.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
100% |
1786
332.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1873
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1753
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
4289
5.09 IPS |
|
|
Object Detection (SP)
|
98% |
675
53.7 IPS |
|
|
Object Detection (HP)
|
98% |
685
54.5 IPS |
|
|
Object Detection (Q)
|
83% |
1433
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
95% |
3303
39.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1389
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1393
10.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3282
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3913
5.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3913
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9413
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
735
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2339
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.3 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.2 IPS |
|
|
Text Classification (Q)
|
88% |
871
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
457
16.2 IPS |
