OPPO CPH2737
Geekbench AI Score
1157
Single Precision Score
4450
Half Precision Score
4485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:22 AM |
| Views | 2 |
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% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
3956
735.8 IPS |
|
|
Image Classification (Q)
|
99% |
7214
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1788
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9108
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17458
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72375
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
100% |
4160
330.0 IPS |
|
|
Object Detection (Q)
|
86% |
4801
386.2 IPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
10060
119.5 IPS |
|
|
Face Detection (Q)
|
97% |
11047
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
891
6.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
18624
143.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
30988
294.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (Q)
|
30% |
521
7.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2577
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10085
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6884
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
122
162.7 IPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1552
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
60% |
386
8.68 IPS |
