OPPO CPH2651
Geekbench AI Score
924
Single Precision Score
1076
Half Precision Score
1045
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 04:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
480
89.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1202
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1664
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1639
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
653
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
2229
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2456
18.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1950
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4544
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
6575
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6576
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
922
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.8 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (Q)
|
91% |
342
459.8 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
