samsung SM-S948U1
Geekbench AI Score
3129
Single Precision Score
4814
Half Precision Score
3966
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948U1 |
| Model ID | samsung SM-S948U1 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.74 GHz |
| Memory Information | |
|---|---|
| Size | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1821
338.6 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (Q)
|
100% |
2427
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6730
109.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5730
93.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14906
17.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
26696
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
26730
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (HP)
|
99% |
2142
169.9 IPS |
|
|
Object Detection (Q)
|
85% |
2107
169.6 IPS |
|
|
Face Detection (SP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
11612
138.0 IPS |
|
|
Face Detection (Q)
|
97% |
10130
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10535
81.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
8042
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18615
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40591
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40118
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6248
230.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6320
234.2 IPS |
|
|
Text Classification (SP)
|
35% |
106
1.03 KIPS |
|
|
Text Classification (HP)
|
35% |
107
973.0 IPS |
|
|
Text Classification (Q)
|
33% |
84
939.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (Q)
|
48% |
709
27.2 IPS |
