OnePlus 7 Pro
Geekbench AI Score
342
Single Precision Score
532
Half Precision Score
539
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 12:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 7 Pro |
| Model ID | OnePlus GM1911 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (Q)
|
97% |
362
67.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
563
9.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
89% |
321
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.04 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1156
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
473
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
767
7.26 IPS |
|
|
Style Transfer (SP)
|
100% |
977
1.26 IPS |
|
|
Style Transfer (HP)
|
100% |
2467
3.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2458
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
545
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.7 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (Q)
|
91% |
342
459.4 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.96 IPS |
