OPPO CPH2737
Geekbench AI Score
1111
Single Precision Score
4414
Half Precision Score
4521
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2025 05:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2737 |
| Model ID | OPPO CPH2737 |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
4022
748.0 IPS |
|
|
Image Classification (Q)
|
99% |
7489
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3927
63.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9246
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17519
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72607
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
4190
332.3 IPS |
|
|
Object Detection (Q)
|
86% |
4882
392.7 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
9906
117.7 IPS |
|
|
Face Detection (Q)
|
97% |
11160
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
850
6.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
18867
145.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
30900
293.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3340
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
609
0.78 IPS |
|
|
Style Transfer (Q)
|
30% |
505
7.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10280
379.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6935
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
88
117.2 IPS |
|
|
Text Classification (HP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1623
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (Q)
|
60% |
383
8.62 IPS |
