Oppo Find X5 Pro
Geekbench AI Score
259
Single Precision Score
260
Half Precision Score
611
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 02:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Oppo Find X5 Pro |
| Model ID | OPPO CPH2305 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.5 IPS |
|
|
Image Classification (Q)
|
99% |
445
82.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
486
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1135
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
87% |
473
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (Q)
|
97% |
1064
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
370
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
373
2.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
730
6.63 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1394
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
191
254.5 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (Q)
|
91% |
356
478.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.27 IPS |
