OPPO CPH2671
Geekbench AI Score
1727
Single Precision Score
1705
Half Precision Score
2744
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 09 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2671 |
| Model ID | OPPO CPH2671 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 7 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 5 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (Q)
|
100% |
2329
433.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3310
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
8140
9.65 IPS |
|
|
Object Detection (SP)
|
98% |
1104
87.9 IPS |
|
|
Object Detection (HP)
|
98% |
1126
89.6 IPS |
|
|
Object Detection (Q)
|
83% |
2356
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
5639
67.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2739
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2716
21.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6507
59.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6509
8.45 IPS |
|
|
Style Transfer (HP)
|
89% |
5945
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
11276
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2677
99.2 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (HP)
|
99% |
396
529.0 IPS |
|
|
Text Classification (Q)
|
88% |
371
500.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
