OnePlus CPH2609
Geekbench AI Score
616
Single Precision Score
645
Half Precision Score
1058
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ElectricSauna |
| Upload Date | January 07 2025 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2609 |
| Model ID | OnePlus CPH2609 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
315
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
100% |
822
152.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
427
6.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
2850
3.38 IPS |
|
|
Object Detection (SP)
|
98% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
98% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
760
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
95% |
1706
20.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
999
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1124
8.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1940
17.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2417
3.14 IPS |
|
|
Style Transfer (HP)
|
89% |
2497
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5337
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1225
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.6 IPS |
|
|
Text Classification (HP)
|
99% |
250
333.8 IPS |
|
|
Text Classification (Q)
|
88% |
312
420.9 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.68 IPS |
