OnePlus CPH2573
Geekbench AI Score
1943
Single Precision Score
1982
Half Precision Score
2336
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 07:42 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% |
1797
334.3 IPS |
|
|
Image Classification (HP)
|
100% |
1855
345.1 IPS |
|
|
Image Classification (Q)
|
100% |
2549
474.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3122
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3571
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6165
7.31 IPS |
|
|
Object Detection (SP)
|
98% |
1170
93.1 IPS |
|
|
Object Detection (HP)
|
98% |
1234
98.2 IPS |
|
|
Object Detection (Q)
|
83% |
1556
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
3742
44.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2652
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2626
20.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3869
35.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6989
9.07 IPS |
|
|
Style Transfer (HP)
|
89% |
6993
9.08 IPS |
|
|
Style Transfer (Q)
|
98% |
12402
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1285
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2410
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.8 IPS |
|
|
Text Classification (HP)
|
99% |
583
777.9 IPS |
|
|
Text Classification (Q)
|
88% |
411
554.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
