OPPO CPH2697
Geekbench AI Score
1131
Single Precision Score
4488
Half Precision Score
4546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 02:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2697 |
| Model ID | OPPO CPH2697 |
| 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% |
1042
193.9 IPS |
|
|
Image Classification (HP)
|
100% |
4041
751.6 IPS |
|
|
Image Classification (Q)
|
99% |
7495
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4132
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9183
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17726
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
73003
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
4265
338.3 IPS |
|
|
Object Detection (Q)
|
86% |
5033
404.8 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
10492
124.7 IPS |
|
|
Face Detection (Q)
|
97% |
11207
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
878
6.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
19029
146.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
31195
296.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3361
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
626
0.81 IPS |
|
|
Style Transfer (Q)
|
30% |
499
7.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10202
376.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7129
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
89
119.4 IPS |
|
|
Text Classification (HP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (Q)
|
93% |
1576
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
60% |
389
8.75 IPS |
