OnePlus CPH2581
Geekbench AI Score
316
Single Precision Score
314
Half Precision Score
702
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
181
33.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
97% |
459
85.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
329
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
331
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
1182
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (Q)
|
89% |
494
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
533
6.33 IPS |
|
|
Face Detection (HP)
|
100% |
533
6.34 IPS |
|
|
Face Detection (Q)
|
97% |
1041
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.23 IPS |
|
|
Depth Estimation (HP)
|
100% |
419
3.22 IPS |
|
|
Depth Estimation (Q)
|
73% |
1071
8.76 IPS |
|
|
Style Transfer (SP)
|
100% |
740
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
736
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2065
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
697
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.8 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.3 IPS |
|
|
Text Classification (Q)
|
91% |
414
556.2 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
57% |
357
8.73 IPS |
