OPPO PKC110
Geekbench AI Score
1237
Single Precision Score
9082
Half Precision Score
12250
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1113
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
5181
963.6 IPS |
|
|
Image Classification (Q)
|
99% |
12776
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4857
78.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2110
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10105
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21602
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
86927
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
5404
428.7 IPS |
|
|
Object Detection (Q)
|
86% |
6323
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
13400
159.2 IPS |
|
|
Face Detection (Q)
|
97% |
14854
177.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1100
8.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
21889
168.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
36354
345.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2999
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
67392
86.6 IPS |
|
|
Style Transfer (Q)
|
98% |
234527
302.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12409
458.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37740
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
126
168.8 IPS |
|
|
Text Classification (HP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (Q)
|
93% |
2688
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (Q)
|
60% |
400
9.02 IPS |
