OnePlus CPH2663
Geekbench AI Score
1721
Single Precision Score
1679
Half Precision Score
2120
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | L00N |
| Upload Date | January 12 2025 02:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1120
208.2 IPS |
|
|
Image Classification (Q)
|
100% |
1243
231.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2825
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2798
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6012
7.13 IPS |
|
|
Object Detection (SP)
|
98% |
1240
98.7 IPS |
|
|
Object Detection (HP)
|
98% |
1214
96.6 IPS |
|
|
Object Detection (Q)
|
83% |
1480
119.6 IPS |
|
|
Face Detection (SP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (Q)
|
95% |
3962
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2647
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2662
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4223
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6942
9.01 IPS |
|
|
Style Transfer (HP)
|
89% |
6910
8.97 IPS |
|
|
Style Transfer (Q)
|
98% |
12595
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2494
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
549
732.2 IPS |
|
|
Text Classification (HP)
|
99% |
558
744.4 IPS |
|
|
Text Classification (Q)
|
88% |
367
495.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1112
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
