OnePlus 8T+ 5G
Geekbench AI Score
723
Single Precision Score
652
Half Precision Score
1226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | beany23 |
| Upload Date | January 09 2025 02:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 8T+ 5G |
| Model ID | OnePlus KB2007 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1427
265.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1771
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
2579
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1214
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.50 IPS |
|
|
Face Detection (Q)
|
95% |
2891
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1381
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1549
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2367
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2995
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
3058
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
5927
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
891
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.2 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.0 IPS |
|
|
Text Classification (Q)
|
88% |
242
326.7 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.86 IPS |
