OPPO CPH2697
Geekbench AI Score
1501
Single Precision Score
1623
Half Precision Score
2922
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 02:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (Q)
|
100% |
871
161.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2678
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2551
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2520
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
6194
7.35 IPS |
|
|
Object Detection (SP)
|
98% |
1272
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
2250
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
2725
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
5305
63.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2356
18.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5134
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6655
8.64 IPS |
|
|
Style Transfer (HP)
|
89% |
6542
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
13632
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3583
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.9 IPS |
|
|
Text Classification (HP)
|
99% |
710
947.2 IPS |
|
|
Text Classification (Q)
|
88% |
1416
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
743
26.4 IPS |
