OnePlus CPH2581
Geekbench AI Score
2084
Single Precision Score
2093
Half Precision Score
3426
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:02 PM |
| Views | 10 |
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% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (Q)
|
100% |
2349
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2872
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7831
9.29 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (HP)
|
98% |
1543
122.7 IPS |
|
|
Object Detection (Q)
|
87% |
2313
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5351
63.9 IPS |
|
|
Depth Estimation (SP)
|
98% |
3068
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3233
25.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
6184
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8166
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8190
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15654
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3946
146.2 IPS |
|
|
Text Classification (SP)
|
100% |
729
973.5 IPS |
|
|
Text Classification (HP)
|
99% |
721
962.0 IPS |
|
|
Text Classification (Q)
|
88% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
50% |
770
27.3 IPS |
