Samsung Galaxy S10
Geekbench AI Score
270
Single Precision Score
406
Half Precision Score
365
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | for_geekbench |
| Upload Date | April 01 2025 01:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 9820 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 |
| Model ID | samsung SM-G973F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
401
6.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
950
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
379
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
97% |
697
8.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
259
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
763
6.92 IPS |
|
|
Style Transfer (SP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
609
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
381
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
386
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
560
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
29
38.9 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.8 IPS |
|
|
Text Classification (Q)
|
91% |
25
34.2 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.26 IPS |
