samsung SM-S948U1
Geekbench AI Score
2761
Single Precision Score
4580
Half Precision Score
6498
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:20 PM |
| 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% |
1610
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (Q)
|
99% |
5891
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7033
114.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7562
8.82 IPS |
|
|
Pose Estimation (HP)
|
92% |
12314
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15439
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
85% |
5359
431.7 IPS |
|
|
Face Detection (SP)
|
100% |
4099
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (Q)
|
97% |
12083
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9930
76.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
12283
112.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8515
11.1 IPS |
|
|
Style Transfer (HP)
|
88% |
13321
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26648
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2354
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4401
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5816
215.5 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1304
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2106
36.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1306
35.1 IPS |
