OPPO CPH2651
Geekbench AI Score
1164
Single Precision Score
8685
Half Precision Score
11761
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 03:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
4658
866.2 IPS |
|
|
Image Classification (Q)
|
99% |
11595
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10224
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21010
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
86272
101.1 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
4961
393.5 IPS |
|
|
Object Detection (Q)
|
86% |
6024
484.5 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
13262
157.6 IPS |
|
|
Face Detection (Q)
|
97% |
15015
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
21308
164.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
36761
349.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2639
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
66447
85.4 IPS |
|
|
Style Transfer (Q)
|
98% |
229622
296.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12067
445.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
34310
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
110
147.0 IPS |
|
|
Text Classification (HP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
2031
35.0 IPS |
|
|
Machine Translation (Q)
|
60% |
412
9.29 IPS |
