OnePlus CPH2573
Geekbench AI Score
1894
Single Precision Score
1837
Half Precision Score
2357
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (Q)
|
100% |
2061
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3115
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2821
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6201
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1215
96.7 IPS |
|
|
Object Detection (HP)
|
98% |
1164
92.6 IPS |
|
|
Object Detection (Q)
|
83% |
1501
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (Q)
|
95% |
3605
43.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2666
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3934
36.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7003
9.09 IPS |
|
|
Style Transfer (HP)
|
89% |
7018
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
12591
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2484
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
612
816.8 IPS |
|
|
Text Classification (HP)
|
99% |
583
778.3 IPS |
|
|
Text Classification (Q)
|
88% |
530
714.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
