samsung SM-S948U1
Geekbench AI Score
2849
Single Precision Score
4790
Half Precision Score
6729
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 06:18 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.7 IPS |
|
|
Image Classification (Q)
|
99% |
5677
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6972
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7705
8.99 IPS |
|
|
Pose Estimation (HP)
|
92% |
12266
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15206
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2627
209.1 IPS |
|
|
Object Detection (Q)
|
85% |
5356
431.5 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7545
89.7 IPS |
|
|
Face Detection (Q)
|
97% |
12020
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5621
43.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9478
73.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
13031
119.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8898
11.6 IPS |
|
|
Style Transfer (HP)
|
88% |
14801
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29614
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4669
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7111
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1517
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2313
40.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1181
31.7 IPS |
