OPPO CPH2651
Geekbench AI Score
1475
Single Precision Score
9770
Half Precision Score
13458
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 03:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| 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 | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1152
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
5602
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
14834
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4972
80.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2116
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10575
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21574
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87916
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
100% |
5730
454.5 IPS |
|
|
Object Detection (Q)
|
86% |
7144
574.7 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
15549
184.8 IPS |
|
|
Face Detection (Q)
|
97% |
15861
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1395
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21806
168.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
39034
370.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4383
5.63 IPS |
|
|
Style Transfer (HP)
|
100% |
68123
87.6 IPS |
|
|
Style Transfer (Q)
|
98% |
242382
312.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12956
478.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40744
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (HP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2974
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
60% |
544
12.3 IPS |
