OnePlus CPH2645
Geekbench AI Score
526
Single Precision Score
525
Half Precision Score
1187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 10:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2645 |
| Model ID | OnePlus CPH2645 |
| 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 | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.8 IPS |
|
|
Image Classification (Q)
|
99% |
836
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
571
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
556
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
2114
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
87% |
883
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
97% |
1786
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
685
5.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1615
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1075
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
2635
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.5 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.8 IPS |
|
|
Text Classification (Q)
|
91% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
619
15.1 IPS |
