Samsung Galaxy S10+
Geekbench AI Score
735
Single Precision Score
664
Half Precision Score
1256
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 02:25 AM |
| Views | 3 |
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-G975U1 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
100% |
1361
253.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3010
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
1213
98.0 IPS |
|
|
Face Detection (SP)
|
100% |
1317
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1570
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2729
25.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3150
4.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3256
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5815
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
163
216.9 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.9 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
