samsung SM-S948U1
Geekbench AI Score
3144
Single Precision Score
4829
Half Precision Score
4163
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 12:40 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% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
2554
474.9 IPS |
|
|
Image Classification (Q)
|
100% |
2443
454.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3848
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6578
106.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7665
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15030
17.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
26899
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26670
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
99% |
2255
178.9 IPS |
|
|
Object Detection (Q)
|
85% |
2248
181.0 IPS |
|
|
Face Detection (SP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
11549
137.2 IPS |
|
|
Face Detection (Q)
|
97% |
10069
120.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7752
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10571
81.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
8022
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18560
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40599
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40178
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6486
239.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6480
240.2 IPS |
|
|
Text Classification (SP)
|
35% |
104
1.02 KIPS |
|
|
Text Classification (HP)
|
35% |
108
980.1 IPS |
|
|
Text Classification (Q)
|
33% |
83
934.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (Q)
|
48% |
798
30.6 IPS |
