samsung SM-S948U1
Geekbench AI Score
2921
Single Precision Score
4852
Half Precision Score
7080
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 06:12 AM |
| Views | 4 |
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% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (Q)
|
99% |
5855
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7155
116.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7606
8.87 IPS |
|
|
Pose Estimation (HP)
|
92% |
12107
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14750
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
97% |
2559
203.7 IPS |
|
|
Object Detection (Q)
|
85% |
5270
424.5 IPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7729
91.8 IPS |
|
|
Face Detection (Q)
|
97% |
12646
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9323
72.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
13281
121.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9430
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
15056
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30756
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5363
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8109
300.5 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (Q)
|
93% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2343
40.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1434
38.5 IPS |
