samsung SM-S948U1
Geekbench AI Score
2954
Single Precision Score
4772
Half Precision Score
7221
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | cheztino |
| Upload Date | March 19 2026 03:12 AM |
| Views | 9 |
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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.1 IPS |
|
|
Image Classification (Q)
|
99% |
5816
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3702
60.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7105
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7855
9.17 IPS |
|
|
Pose Estimation (HP)
|
92% |
12130
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15619
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2620
208.6 IPS |
|
|
Object Detection (Q)
|
85% |
5471
440.8 IPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7149
85.0 IPS |
|
|
Face Detection (Q)
|
97% |
12403
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9047
69.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
12656
116.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9132
11.9 IPS |
|
|
Style Transfer (HP)
|
88% |
14749
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30714
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5322
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7948
294.5 IPS |
|
|
Text Classification (SP)
|
100% |
1305
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2264
39.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1451
39.0 IPS |
