OnePlus CPH2573
Geekbench AI Score
1739
Single Precision Score
1759
Half Precision Score
2220
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 06:54 PM |
| Views | 2 |
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% |
1216
226.2 IPS |
|
|
Image Classification (HP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (Q)
|
100% |
1651
307.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2161
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
7113
8.44 IPS |
|
|
Object Detection (SP)
|
98% |
1286
102.3 IPS |
|
|
Object Detection (HP)
|
98% |
1166
92.8 IPS |
|
|
Object Detection (Q)
|
83% |
1404
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (Q)
|
95% |
3727
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2659
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2662
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3731
34.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6886
8.94 IPS |
|
|
Style Transfer (HP)
|
89% |
7705
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12288
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2394
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
583
777.5 IPS |
|
|
Text Classification (HP)
|
99% |
594
792.8 IPS |
|
|
Text Classification (Q)
|
88% |
579
781.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
