OnePlus CPH2611
Geekbench AI Score
747
Single Precision Score
939
Half Precision Score
916
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Quina |
| Upload Date | January 05 2025 12:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2611 |
| Model ID | OnePlus CPH2611 |
| 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% |
576
107.1 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
96% |
541
101.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1428
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1417
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (Q)
|
87% |
780
62.6 IPS |
|
|
Face Detection (SP)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1351
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2041
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3634
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
8125
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7899
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
335
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
153
204.3 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.7 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.7 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.61 IPS |
