OPPO PHY110
Geekbench AI Score
2785
Single Precision Score
2790
Half Precision Score
4643
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | 919527904 |
| Upload Date | August 16 2024 07:23 PM |
| Views | 8 |
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% |
2167
403.0 IPS |
|
|
Image Classification (HP)
|
100% |
2274
422.9 IPS |
|
|
Image Classification (Q)
|
100% |
3400
632.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3919
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4426
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
9885
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
2154
171.4 IPS |
|
|
Object Detection (HP)
|
98% |
2199
175.0 IPS |
|
|
Object Detection (Q)
|
87% |
3290
264.2 IPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (Q)
|
95% |
7732
92.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
3870
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3991
30.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
8341
67.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10292
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10139
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20563
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2095
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5354
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1523
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
995
35.3 IPS |
