OnePlus CPH2645
Geekbench AI Score
531
Single Precision Score
530
Half Precision Score
1199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 08:51 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% |
324
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
99% |
845
157.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
846
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
570
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
2140
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
315
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (Q)
|
87% |
892
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
97% |
1819
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
697
5.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
694
5.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1631
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1091
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1084
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2648
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1217
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.6 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.6 IPS |
|
|
Text Classification (Q)
|
91% |
762
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
57% |
622
15.2 IPS |
