Samsung Galaxy S10+
Geekbench AI Score
333
Single Precision Score
520
Half Precision Score
539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 07:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
205
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
97% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
553
8.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
323
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
89% |
313
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
507
6.03 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
1170
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
467
3.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
921
7.12 IPS |
|
|
Depth Estimation (Q)
|
62% |
755
7.15 IPS |
|
|
Style Transfer (SP)
|
100% |
969
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2398
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2380
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.1 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.74 IPS |
