samsung SCG19
Geekbench AI Score
1769
Single Precision Score
1760
Half Precision Score
2712
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 03:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SCG19 |
| Model ID | samsung SCG19 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
1821
338.7 IPS |
|
|
Image Classification (Q)
|
100% |
2816
523.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2973
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6438
7.64 IPS |
|
|
Object Detection (SP)
|
98% |
1208
96.1 IPS |
|
|
Object Detection (HP)
|
98% |
1218
96.9 IPS |
|
|
Object Detection (Q)
|
83% |
1700
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3734
44.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2488
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3608
33.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6483
8.42 IPS |
|
|
Style Transfer (HP)
|
89% |
6529
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
10394
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2672
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
537
717.3 IPS |
|
|
Text Classification (HP)
|
99% |
535
714.2 IPS |
|
|
Text Classification (Q)
|
88% |
836
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
751
26.7 IPS |
