Samsung Galaxy S10+
Geekbench AI Score
647
Single Precision Score
636
Half Precision Score
1224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 24 2025 02:10 AM |
| Views | 4 |
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% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1471
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1749
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
2883
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
83% |
1145
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
2725
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1301
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2634
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3179
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3040
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6364
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
160
214.1 IPS |
|
|
Text Classification (HP)
|
100% |
161
214.4 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.1 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.77 IPS |
