OPPO CPH2659
Geekbench AI Score
1831
Single Precision Score
1830
Half Precision Score
2284
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2659 |
| Model ID | OPPO CPH2659 |
| 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 | 15.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
1205
224.1 IPS |
|
|
Image Classification (Q)
|
100% |
1752
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2049
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2728
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5089
6.04 IPS |
|
|
Object Detection (SP)
|
98% |
1149
91.5 IPS |
|
|
Object Detection (HP)
|
98% |
1131
90.0 IPS |
|
|
Object Detection (Q)
|
83% |
1547
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
95% |
3805
45.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3196
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4091
37.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6448
8.37 IPS |
|
|
Style Transfer (HP)
|
89% |
6463
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11211
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1372
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2400
88.9 IPS |
|
|
Text Classification (SP)
|
100% |
619
826.8 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.8 IPS |
|
|
Text Classification (Q)
|
88% |
732
987.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
