Samsung Galaxy S10
Geekbench AI Score
346
Single Precision Score
443
Half Precision Score
426
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | anewold |
| Upload Date | May 29 2025 12:46 PM |
| Views | 26 |
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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
187
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
261
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
292
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1112
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
62% |
435
4.12 IPS |
|
|
Style Transfer (SP)
|
100% |
906
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1449
1.86 IPS |
|
|
Style Transfer (Q)
|
98% |
1438
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
346
12.8 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (HP)
|
100% |
222
296.7 IPS |
|
|
Text Classification (Q)
|
91% |
370
497.6 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
