OPPO PKB110
Geekbench AI Score
1684
Single Precision Score
1691
Half Precision Score
2168
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 09:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO PKB110 |
| Model ID | OPPO PKB110 |
| 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 | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (HP)
|
100% |
1081
201.1 IPS |
|
|
Image Classification (Q)
|
100% |
1661
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1863
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2567
2.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
4761
5.65 IPS |
|
|
Object Detection (SP)
|
98% |
1024
81.5 IPS |
|
|
Object Detection (HP)
|
98% |
1048
83.4 IPS |
|
|
Object Detection (Q)
|
83% |
1470
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (Q)
|
95% |
3605
43.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3038
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3042
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3802
34.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5918
7.68 IPS |
|
|
Style Transfer (HP)
|
89% |
5924
7.69 IPS |
|
|
Style Transfer (Q)
|
98% |
10368
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2296
85.1 IPS |
|
|
Text Classification (SP)
|
100% |
589
786.4 IPS |
|
|
Text Classification (HP)
|
99% |
586
782.2 IPS |
|
|
Text Classification (Q)
|
88% |
733
988.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
