OPPO PKC110
Geekbench AI Score
1743
Single Precision Score
1778
Half Precision Score
2524
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO PKC110 |
| Model ID | OPPO PKC110 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
1190
221.4 IPS |
|
|
Image Classification (Q)
|
100% |
1921
357.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
4950
5.87 IPS |
|
|
Object Detection (SP)
|
98% |
1054
83.9 IPS |
|
|
Object Detection (HP)
|
98% |
1050
83.5 IPS |
|
|
Object Detection (Q)
|
83% |
1669
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (Q)
|
95% |
3951
47.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2984
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3016
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4077
37.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5979
7.76 IPS |
|
|
Style Transfer (HP)
|
89% |
5966
7.74 IPS |
|
|
Style Transfer (Q)
|
98% |
10657
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2646
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.7 IPS |
|
|
Text Classification (HP)
|
99% |
610
814.0 IPS |
|
|
Text Classification (Q)
|
88% |
1089
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
