OnePlus CPH2581
Geekbench AI Score
978
Single Precision Score
1557
Half Precision Score
1537
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (Q)
|
99% |
853
159.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2042
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2553
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
89% |
878
70.3 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
97% |
3033
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1810
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3667
28.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
3425
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6747
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10824
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10578
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1490
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.9 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.3 IPS |
|
|
Text Classification (Q)
|
91% |
322
432.3 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
57% |
358
8.75 IPS |
