OPPO CPH2249
Geekbench AI Score
998
Single Precision Score
974
Half Precision Score
1984
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6893Z/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2249 |
| Model ID | OPPO CPH2249 |
| Motherboard | k6893v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.3 IPS |
|
|
Image Classification (Q)
|
100% |
1353
251.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3841
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
1291
104.3 IPS |
|
|
Face Detection (SP)
|
100% |
1393
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3109
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1814
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3409
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3870
5.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3826
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
8590
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2031
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.9 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.2 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
