OPPO CPH2637
Geekbench AI Score
161
Single Precision Score
222
Half Precision Score
219
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 01:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2637 |
| Model ID | OPPO CPH2637 |
| Motherboard | k6835v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
100
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
246
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
96
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
116
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
115
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.78 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
136
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
97% |
429
5.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
185
1.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
62% |
197
1.86 IPS |
|
|
Style Transfer (SP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
523
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
521
0.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
95
3.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
147
5.45 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.8 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.7 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
57% |
225
5.51 IPS |
