OPPO cepheus
Geekbench AI Score
894
Single Precision Score
1358
Half Precision Score
1205
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 10:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO cepheus |
| Model ID | OPPO cepheus |
| Motherboard | cepheus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (HP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (Q)
|
99% |
948
176.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1387
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4017
4.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
6771
7.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
6475
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
99% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
85% |
707
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2186
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2035
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2985
23.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2386
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5123
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
9030
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8739
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1301
48.2 IPS |
|
|
Text Classification (SP)
|
35% |
37
356.2 IPS |
|
|
Text Classification (HP)
|
35% |
59
539.6 IPS |
|
|
Text Classification (Q)
|
35% |
48
434.3 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
97% |
484
8.37 IPS |
|
|
Machine Translation (Q)
|
64% |
378
7.77 IPS |
