Samsung Galaxy S10
Geekbench AI Score
426
Single Precision Score
413
Half Precision Score
577
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 11:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
233
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
412
76.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
983
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
826
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
180
14.2 IPS |
|
|
Object Detection (Q)
|
83% |
381
30.8 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (Q)
|
95% |
1086
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
821
6.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
888
8.14 IPS |
|
|
Style Transfer (SP)
|
89% |
1588
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1533
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
2035
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
676
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.9 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.8 IPS |
|
|
Text Classification (Q)
|
88% |
272
367.2 IPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (Q)
|
50% |
192
6.83 IPS |
