OnePlus CPH2613
Geekbench AI Score
1033
Single Precision Score
1069
Half Precision Score
2586
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 13 2024 10:42 AM |
| 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% |
758
140.9 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.6 IPS |
|
|
Image Classification (Q)
|
100% |
1927
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
723
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2010
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1342
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
5339
6.33 IPS |
|
|
Object Detection (SP)
|
98% |
660
52.6 IPS |
|
|
Object Detection (HP)
|
98% |
645
51.3 IPS |
|
|
Object Detection (Q)
|
83% |
1659
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
4167
49.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1455
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4073
37.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4379
5.68 IPS |
|
|
Style Transfer (HP)
|
89% |
4355
5.65 IPS |
|
|
Style Transfer (Q)
|
98% |
12159
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3098
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.2 IPS |
|
|
Text Classification (HP)
|
99% |
585
780.9 IPS |
|
|
Text Classification (Q)
|
88% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
