Samsung Galaxy S10+
Geekbench AI Score
352
Single Precision Score
427
Half Precision Score
629
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 10:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
97% |
1115
208.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1101
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10680
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
85% |
1162
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
3000
35.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
22% |
223
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3451
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4189
155.2 IPS |
|
|
Text Classification (SP)
|
71% |
7
10.2 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (Q)
|
93% |
66
88.2 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (Q)
|
0
|
