Samsung Galaxy S10
Geekbench AI Score
730
Single Precision Score
1166
Half Precision Score
913
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 08 2026 09:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
97% |
565
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1131
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
5793
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (HP)
|
99% |
689
54.6 IPS |
|
|
Object Detection (Q)
|
83% |
570
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
96% |
2158
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1585
12.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3289
25.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2328
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4800
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
9800
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9187
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1775
65.8 IPS |
|
|
Text Classification (SP)
|
35% |
20
185.9 IPS |
|
|
Text Classification (HP)
|
29% |
17
299.7 IPS |
|
|
Text Classification (Q)
|
29% |
17
297.7 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
43% |
138
8.01 IPS |
