samsung SM-S948U1
Geekbench AI Score
2763
Single Precision Score
4633
Half Precision Score
6714
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 05:33 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% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.7 IPS |
|
|
Image Classification (Q)
|
99% |
5902
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7005
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7652
8.93 IPS |
|
|
Pose Estimation (HP)
|
92% |
12386
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15068
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
85% |
5343
430.4 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
6664
79.2 IPS |
|
|
Face Detection (Q)
|
97% |
11927
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9256
71.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
12351
113.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8589
11.2 IPS |
|
|
Style Transfer (HP)
|
88% |
14577
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30694
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4497
167.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6506
241.1 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1317
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1709
29.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2258
39.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1444
38.8 IPS |
