OPPO CPH2293
Geekbench AI Score
772
Single Precision Score
755
Half Precision Score
1724
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 07:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6893Z_B/CZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2293 |
| Model ID | OPPO CPH2293 |
| Motherboard | k6893v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z_B/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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
100% |
1378
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2116
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
2991
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
1016
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (Q)
|
95% |
3281
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1850
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1851
14.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3331
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3849
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3126
4.06 IPS |
|
|
Style Transfer (Q)
|
98% |
6808
8.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1546
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
348
465.1 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.9 IPS |
|
|
Text Classification (Q)
|
88% |
706
951.9 IPS |
|
|
Machine Translation (SP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
