OnePlus CPH2573
Geekbench AI Score
897
Single Precision Score
1427
Half Precision Score
1374
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | aayush08 |
| Upload Date | October 16 2024 11:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2573 |
| Model ID | OnePlus CPH2573 |
| 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% |
600
111.6 IPS |
|
|
Image Classification (HP)
|
100% |
874
162.6 IPS |
|
|
Image Classification (Q)
|
96% |
823
153.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2560
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2543
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
87% |
968
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (Q)
|
97% |
3124
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1817
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3690
28.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3010
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6764
8.70 IPS |
|
|
Style Transfer (HP)
|
100% |
10839
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10582
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1499
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.8 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.5 IPS |
|
|
Text Classification (Q)
|
91% |
215
288.8 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.79 IPS |
