samsung SM-S938B
Geekbench AI Score
1939
Single Precision Score
1936
Half Precision Score
2786
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 15 2025 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
963
179.1 IPS |
|
|
Image Classification (HP)
|
100% |
1007
187.2 IPS |
|
|
Image Classification (Q)
|
100% |
4213
783.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5113
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3671
4.35 IPS |
|
|
Object Detection (SP)
|
98% |
911
72.5 IPS |
|
|
Object Detection (HP)
|
98% |
1101
87.6 IPS |
|
|
Object Detection (Q)
|
83% |
1618
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
4118
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (Q)
|
95% |
7700
91.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4040
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3881
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4954
45.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7546
9.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6910
8.97 IPS |
|
|
Style Transfer (Q)
|
98% |
12653
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3850
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
539
719.1 IPS |
|
|
Text Classification (HP)
|
99% |
521
695.3 IPS |
|
|
Text Classification (Q)
|
88% |
480
647.9 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
247
8.76 IPS |
