Samsung Galaxy S10
Geekbench AI Score
335
Single Precision Score
328
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 07:04 AM |
| Views | 5 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
100% |
312
58.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
402
6.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
658
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
316
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
95% |
881
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
704
6.45 IPS |
|
|
Style Transfer (SP)
|
89% |
1298
1.68 IPS |
|
|
Style Transfer (HP)
|
89% |
1349
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1624
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
388
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.7 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.2 IPS |
|
|
Text Classification (Q)
|
88% |
226
304.2 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
139
4.92 IPS |
