OnePlus CPH2573
Geekbench AI Score
862
Single Precision Score
1377
Half Precision Score
1152
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 06:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
1139
211.9 IPS |
|
|
Image Classification (Q)
|
96% |
725
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2537
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
87% |
701
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
2135
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1321
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2163
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6721
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10826
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10676
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1510
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.9 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (Q)
|
91% |
213
286.5 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
195
4.76 IPS |
