OPPO CPH2651
Geekbench AI Score
1319
Single Precision Score
8856
Half Precision Score
12382
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:25 AM |
| Views | 2 |
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% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.4 IPS |
|
|
Image Classification (Q)
|
99% |
13108
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4492
72.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2087
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10542
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21127
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
86815
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (HP)
|
100% |
5357
424.9 IPS |
|
|
Object Detection (Q)
|
86% |
6593
530.3 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
13291
157.9 IPS |
|
|
Face Detection (Q)
|
97% |
14888
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
22004
169.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
35796
339.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3282
4.22 IPS |
|
|
Style Transfer (HP)
|
100% |
66965
86.1 IPS |
|
|
Style Transfer (Q)
|
98% |
236117
304.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12400
457.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
37795
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
129
172.8 IPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2729
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
2087
36.0 IPS |
|
|
Machine Translation (Q)
|
60% |
417
9.39 IPS |
