OPPO CPH2659
Geekbench AI Score
1827
Single Precision Score
1833
Half Precision Score
2257
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 06:48 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% |
1166
216.9 IPS |
|
|
Image Classification (HP)
|
100% |
1169
217.4 IPS |
|
|
Image Classification (Q)
|
100% |
1771
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1564
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2013
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2717
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5063
6.00 IPS |
|
|
Object Detection (SP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (HP)
|
98% |
1135
90.3 IPS |
|
|
Object Detection (Q)
|
83% |
1555
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (Q)
|
95% |
3786
45.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3177
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3248
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3987
36.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6479
8.41 IPS |
|
|
Style Transfer (HP)
|
89% |
6460
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11325
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2444
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
621
829.2 IPS |
|
|
Text Classification (HP)
|
99% |
617
823.7 IPS |
|
|
Text Classification (Q)
|
88% |
728
982.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
