samsung SM-S948U1
Geekbench AI Score
3164
Single Precision Score
4789
Half Precision Score
4112
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 02:54 AM |
| Views | 3 |
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% |
1884
350.3 IPS |
|
|
Image Classification (HP)
|
100% |
2589
481.6 IPS |
|
|
Image Classification (Q)
|
100% |
2497
464.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4267
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6347
102.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6890
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14958
17.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
27017
31.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26671
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
2286
181.3 IPS |
|
|
Object Detection (Q)
|
85% |
2251
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
6263
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
11433
135.8 IPS |
|
|
Face Detection (Q)
|
97% |
10081
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7726
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10401
80.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
8032
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18432
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40614
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38895
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6186
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6287
233.0 IPS |
|
|
Text Classification (SP)
|
35% |
106
1.03 KIPS |
|
|
Text Classification (HP)
|
35% |
107
975.0 IPS |
|
|
Text Classification (Q)
|
33% |
84
945.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (Q)
|
48% |
806
30.9 IPS |
