OPPO CPH2307
Geekbench AI Score
54
Single Precision Score
55
Half Precision Score
133
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 25 2024 10:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2307 |
| Model ID | OPPO CPH2307 |
| Motherboard | lahaina |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
30
5.60 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.75 IPS |
|
|
Image Classification (Q)
|
99% |
88
16.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
80
1.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
57
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
57
0.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
237
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.47 IPS |
|
|
Object Detection (HP)
|
100% |
31
2.47 IPS |
|
|
Object Detection (Q)
|
87% |
98
7.86 IPS |
|
|
Face Detection (SP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (HP)
|
100% |
75
0.89 IPS |
|
|
Face Detection (Q)
|
97% |
198
2.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
72
0.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
71
0.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
168
1.52 IPS |
|
|
Style Transfer (SP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
132
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
350
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39
1.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
143
5.29 IPS |
|
|
Text Classification (SP)
|
100% |
49
66.0 IPS |
|
|
Text Classification (HP)
|
100% |
51
68.0 IPS |
|
|
Text Classification (Q)
|
91% |
95
128.3 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.44 IPS |
|
|
Machine Translation (Q)
|
57% |
71
1.74 IPS |
