samsung SM-S948U1
Geekbench AI Score
2908
Single Precision Score
4876
Half Precision Score
7106
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:04 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% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
3055
568.2 IPS |
|
|
Image Classification (Q)
|
99% |
5931
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3797
61.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7203
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7868
9.18 IPS |
|
|
Pose Estimation (HP)
|
92% |
12292
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2658
211.6 IPS |
|
|
Object Detection (Q)
|
85% |
5382
433.6 IPS |
|
|
Face Detection (SP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7699
91.5 IPS |
|
|
Face Detection (Q)
|
97% |
12303
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5541
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9826
75.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
12898
118.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9400
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
15248
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31069
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2509
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5116
190.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8208
304.1 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2302
39.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1370
36.8 IPS |
