OPPO CPH2651
Geekbench AI Score
1313
Single Precision Score
8837
Half Precision Score
12329
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:34 AM |
| Views | 5 |
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% |
1147
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.2 IPS |
|
|
Image Classification (Q)
|
99% |
13291
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4607
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21273
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
86343
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
100% |
5340
423.6 IPS |
|
|
Object Detection (Q)
|
86% |
6705
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
13341
158.5 IPS |
|
|
Face Detection (Q)
|
97% |
14808
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1186
9.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
21039
162.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
35735
339.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3311
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
67087
86.2 IPS |
|
|
Style Transfer (Q)
|
98% |
236335
304.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12419
458.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38353
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
130
173.6 IPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2526
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (Q)
|
60% |
417
9.38 IPS |
