Samsung Galaxy S10+
Geekbench AI Score
804
Single Precision Score
813
Half Precision Score
1531
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10+ |
| Model ID | samsung SM-G9750 |
| 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.4 IPS |
|
|
Image Classification (Q)
|
100% |
1053
195.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1764
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2864
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
83% |
1103
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2517
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1452
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1414
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2624
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2922
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3007
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6342
8.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1565
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
363
485.0 IPS |
|
|
Text Classification (HP)
|
100% |
385
513.8 IPS |
|
|
Text Classification (Q)
|
88% |
646
871.3 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
