OnePlus 10T
Geekbench AI Score
1134
Single Precision Score
1142
Half Precision Score
2608
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 06:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 10T |
| Model ID | OnePlus CPH2415 |
| 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 | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
100% |
1904
354.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
5524
6.55 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
1785
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (Q)
|
95% |
3933
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2274
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2271
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4366
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4078
5.29 IPS |
|
|
Style Transfer (HP)
|
89% |
4062
5.27 IPS |
|
|
Style Transfer (Q)
|
98% |
11660
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2862
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.3 IPS |
|
|
Text Classification (HP)
|
100% |
572
762.8 IPS |
|
|
Text Classification (Q)
|
88% |
1126
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
