OnePlus 8T
Geekbench AI Score
856
Single Precision Score
871
Half Precision Score
1645
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 8T |
| Model ID | OnePlus KB2003 |
| 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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3820
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
83% |
1424
115.0 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
3450
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1372
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3474
31.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4101
5.32 IPS |
|
|
Style Transfer (HP)
|
89% |
4127
5.36 IPS |
|
|
Style Transfer (Q)
|
98% |
8941
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.5 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.9 IPS |
|
|
Text Classification (Q)
|
88% |
280
377.6 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
50% |
171
6.08 IPS |
