OPPO CPH2659
Geekbench AI Score
1848
Single Precision Score
1600
Half Precision Score
2285
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 10:55 AM |
| Views | 1 |
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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1177
218.9 IPS |
|
|
Image Classification (Q)
|
100% |
1784
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2034
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2707
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
5070
6.01 IPS |
|
|
Object Detection (SP)
|
98% |
1177
93.7 IPS |
|
|
Object Detection (HP)
|
98% |
1133
90.1 IPS |
|
|
Object Detection (Q)
|
83% |
1564
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2651
31.5 IPS |
|
|
Face Detection (Q)
|
95% |
3803
45.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3237
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3199
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4069
37.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6373
8.27 IPS |
|
|
Style Transfer (HP)
|
89% |
6388
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
11311
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2494
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.6 IPS |
|
|
Text Classification (HP)
|
99% |
618
824.8 IPS |
|
|
Text Classification (Q)
|
88% |
718
968.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
