OPPO PKB110
Geekbench AI Score
1410
Single Precision Score
9339
Half Precision Score
12628
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 09:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
1142
212.4 IPS |
|
|
Image Classification (HP)
|
100% |
5211
969.0 IPS |
|
|
Image Classification (Q)
|
99% |
13202
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4818
78.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10472
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20931
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87348
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
5493
435.7 IPS |
|
|
Object Detection (Q)
|
86% |
6704
539.3 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
14876
176.8 IPS |
|
|
Face Detection (Q)
|
97% |
15547
185.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1275
9.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
22389
172.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
37951
360.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3684
4.74 IPS |
|
|
Style Transfer (HP)
|
100% |
67649
87.0 IPS |
|
|
Style Transfer (Q)
|
98% |
237701
306.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2790
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12690
468.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38784
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
153
203.7 IPS |
|
|
Text Classification (HP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (Q)
|
93% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (Q)
|
60% |
461
10.4 IPS |
