OnePlus CPH2581
Geekbench AI Score
2205
Single Precision Score
2177
Half Precision Score
3481
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | F0xMaster |
| Upload Date | September 16 2024 10:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2581 |
| Model ID | OnePlus CPH2581 |
| 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% |
1764
328.0 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.6 IPS |
|
|
Image Classification (Q)
|
100% |
3043
565.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3441
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4073
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7783
9.23 IPS |
|
|
Object Detection (SP)
|
98% |
1480
117.8 IPS |
|
|
Object Detection (HP)
|
98% |
1444
114.9 IPS |
|
|
Object Detection (Q)
|
83% |
2234
180.5 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5245
62.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2970
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2989
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5474
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8064
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
7987
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15670
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3971
147.1 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.5 IPS |
|
|
Text Classification (HP)
|
99% |
732
976.6 IPS |
|
|
Text Classification (Q)
|
88% |
1143
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
704
25.0 IPS |
