Samsung Galaxy S10+
Geekbench AI Score
307
Single Precision Score
303
Half Precision Score
597
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 25 2025 03:59 AM |
| Views | 2 |
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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
480
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
609
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1022
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
458
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (Q)
|
95% |
876
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
534
4.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
978
8.96 IPS |
|
|
Style Transfer (SP)
|
89% |
1108
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1082
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2499
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.7 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.5 IPS |
|
|
Text Classification (Q)
|
88% |
251
338.9 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.38 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.75 IPS |
