OPPO PHY110
Geekbench AI Score
2715
Single Precision Score
2809
Half Precision Score
4395
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | 919527904 |
| Upload Date | August 23 2024 07:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PHY110 |
| Model ID | OPPO PHY110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2411
448.4 IPS |
|
|
Image Classification (HP)
|
100% |
2337
434.6 IPS |
|
|
Image Classification (Q)
|
100% |
3668
682.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4071
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3965
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3868
4.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
8988
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
2141
170.4 IPS |
|
|
Object Detection (HP)
|
98% |
2140
170.3 IPS |
|
|
Object Detection (Q)
|
87% |
3317
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
95% |
7247
86.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
3493
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
7835
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
10010
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10018
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19453
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5330
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
1071
1.43 KIPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
50% |
1060
37.6 IPS |
