Samsung Galaxy S10
Geekbench AI Score
227
Single Precision Score
338
Half Precision Score
350
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:41 AM |
| Views | 16 |
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-G973U1 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.1 IPS |
|
|
Image Classification (Q)
|
97% |
326
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
89% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
1006
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
896
6.92 IPS |
|
|
Depth Estimation (Q)
|
62% |
741
7.02 IPS |
|
|
Style Transfer (SP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2341
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
2321
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.2 IPS |
|
|
Text Classification (HP)
|
100% |
49
66.0 IPS |
|
|
Text Classification (Q)
|
91% |
94
126.8 IPS |
|
|
Machine Translation (SP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (HP)
|
100% |
82
1.41 IPS |
|
|
Machine Translation (Q)
|
57% |
73
1.77 IPS |
