OnePlus CPH2663
Geekbench AI Score
1076
Single Precision Score
1001
Half Precision Score
1767
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 01:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
1293
240.4 IPS |
|
|
Image Classification (Q)
|
100% |
1833
340.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1200
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2081
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6325
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
526
41.9 IPS |
|
|
Object Detection (HP)
|
98% |
528
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
2610
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
1910
22.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1157
8.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2037
18.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7047
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2769
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4701
6.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1220
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
331
442.1 IPS |
|
|
Text Classification (HP)
|
99% |
335
446.9 IPS |
|
|
Text Classification (Q)
|
88% |
595
802.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
