OPPO CPH2377
Geekbench AI Score
2043
Single Precision Score
2044
Half Precision Score
3328
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2377 |
| Model ID | OPPO CPH2377 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
100% |
2865
532.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2928
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2872
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6530
7.74 IPS |
|
|
Object Detection (SP)
|
98% |
1600
127.3 IPS |
|
|
Object Detection (HP)
|
98% |
1590
126.6 IPS |
|
|
Object Detection (Q)
|
83% |
2292
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4890
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2569
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5043
46.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6825
8.86 IPS |
|
|
Style Transfer (HP)
|
89% |
6678
8.67 IPS |
|
|
Style Transfer (Q)
|
98% |
12767
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3591
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1482
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
793
28.1 IPS |
