samsung SM-S948U1
Geekbench AI Score
2993
Single Precision Score
4983
Half Precision Score
7169
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 06:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
3034
564.2 IPS |
|
|
Image Classification (Q)
|
99% |
5908
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3782
61.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7053
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7922
9.24 IPS |
|
|
Pose Estimation (HP)
|
92% |
12570
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15856
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.8 IPS |
|
|
Object Detection (HP)
|
97% |
2664
212.1 IPS |
|
|
Object Detection (Q)
|
85% |
5432
437.6 IPS |
|
|
Face Detection (SP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
97% |
12621
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5631
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9809
75.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
12567
115.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9484
12.3 IPS |
|
|
Style Transfer (HP)
|
88% |
15309
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30108
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2969
109.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5538
205.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8283
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
93% |
1777
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2289
39.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1423
38.2 IPS |
