OnePlus CPH2581
Geekbench AI Score
433
Single Precision Score
428
Half Precision Score
953
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 09:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
306
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
799
149.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
515
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
2077
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
296
23.4 IPS |
|
|
Object Detection (Q)
|
87% |
850
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
97% |
822
9.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1559
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
612
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1697
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.9 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.3 IPS |
|
|
Text Classification (Q)
|
91% |
741
995.8 IPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.16 IPS |
