OPPO CPH2307
Geekbench AI Score
817
Single Precision Score
707
Half Precision Score
1335
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
473
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
100% |
1162
216.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3329
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1290
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3263
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2002
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3129
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3665
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3655
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7815
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
637
23.6 IPS |
|
|
Text Classification (SP)
|
100% |
174
231.7 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.2 IPS |
|
|
Text Classification (Q)
|
88% |
279
375.8 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.82 IPS |
