OPPO CPH2343
Geekbench AI Score
187
Single Precision Score
283
Half Precision Score
295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2343 |
| Model ID | OPPO CPH2343 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
97% |
185
34.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
240
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
277
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.28 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
89% |
150
12.0 IPS |
|
|
Face Detection (SP)
|
100% |
253
3.00 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
455
5.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
431
3.33 IPS |
|
|
Depth Estimation (Q)
|
62% |
353
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1069
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1060
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
218
8.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
214
7.94 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.2 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.1 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.02 IPS |
