OnePlus CPH2621
Geekbench AI Score
546
Single Precision Score
546
Half Precision Score
1055
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2621 |
| Model ID | OnePlus CPH2621 |
| Motherboard | blair |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.6 IPS |
|
|
Image Classification (Q)
|
100% |
714
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1168
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1723
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
709
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
1694
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
1616
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2029
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2026
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4112
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
997
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.4 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (Q)
|
88% |
570
769.2 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.4 IPS |
