OPPO CPH2651
Geekbench AI Score
1878
Single Precision Score
1839
Half Precision Score
2284
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
1211
225.3 IPS |
|
|
Image Classification (Q)
|
100% |
1818
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2053
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5092
6.04 IPS |
|
|
Object Detection (SP)
|
98% |
1142
90.9 IPS |
|
|
Object Detection (HP)
|
98% |
1150
91.5 IPS |
|
|
Object Detection (Q)
|
83% |
1583
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (Q)
|
95% |
3888
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3238
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4120
37.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6334
8.22 IPS |
|
|
Style Transfer (HP)
|
89% |
6353
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
11325
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2508
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
632
843.5 IPS |
|
|
Text Classification (HP)
|
99% |
634
845.9 IPS |
|
|
Text Classification (Q)
|
88% |
671
905.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
421
15.0 IPS |
