OnePlus CPH2645
Geekbench AI Score
531
Single Precision Score
529
Half Precision Score
1198
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 09:46 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
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
322
60.0 IPS |
|
|
Image Classification (Q)
|
99% |
845
157.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
844
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
576
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
2131
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
87% |
892
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
97% |
1829
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
695
5.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
693
5.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1629
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1088
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1085
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2643
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1209
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.7 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.7 IPS |
|
|
Text Classification (Q)
|
91% |
764
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
57% |
622
15.2 IPS |
