samsung SM-S948U1
Geekbench AI Score
3134
Single Precision Score
4851
Half Precision Score
4127
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 08:02 PM |
| 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% |
1794
333.6 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
100% |
2385
443.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3824
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6683
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6695
108.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14906
17.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
26923
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26716
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1751
138.9 IPS |
|
|
Object Detection (HP)
|
99% |
2233
177.2 IPS |
|
|
Object Detection (Q)
|
85% |
2300
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
6297
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
11215
133.3 IPS |
|
|
Face Detection (Q)
|
97% |
10127
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7811
60.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10572
81.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
8073
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18542
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40682
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40576
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6467
238.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6371
236.1 IPS |
|
|
Text Classification (SP)
|
35% |
105
1.02 KIPS |
|
|
Text Classification (HP)
|
35% |
107
968.7 IPS |
|
|
Text Classification (Q)
|
33% |
85
952.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (Q)
|
48% |
814
31.2 IPS |
