OPPO CPH2699
Geekbench AI Score
785
Single Precision Score
841
Half Precision Score
1409
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 07:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2699 |
| Model ID | OPPO CPH2699 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
100% |
1297
241.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1521
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3419
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
83% |
1248
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3117
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1359
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3120
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3326
4.32 IPS |
|
|
Style Transfer (HP)
|
89% |
3333
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
7826
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
819
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
470
626.8 IPS |
|
|
Text Classification (HP)
|
100% |
462
617.0 IPS |
|
|
Text Classification (Q)
|
88% |
865
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
30
1.05 IPS |
