OPPO CPH2651
Geekbench AI Score
1291
Single Precision Score
8864
Half Precision Score
12094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Limitless |
| Upload Date | December 15 2024 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
4780
889.0 IPS |
|
|
Image Classification (Q)
|
99% |
12128
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4616
74.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2079
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10693
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20883
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86856
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
5294
419.9 IPS |
|
|
Object Detection (Q)
|
86% |
6065
487.8 IPS |
|
|
Face Detection (SP)
|
100% |
3591
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
13468
160.0 IPS |
|
|
Face Detection (Q)
|
97% |
14956
178.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1173
9.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
21460
165.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
37398
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3293
4.23 IPS |
|
|
Style Transfer (HP)
|
100% |
67772
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
234234
302.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12190
450.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
36668
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
124
166.0 IPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (Q)
|
60% |
415
9.35 IPS |
