samsung SM-S948U1
Geekbench AI Score
2807
Single Precision Score
4725
Half Precision Score
6732
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:30 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% |
1546
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.8 IPS |
|
|
Image Classification (Q)
|
99% |
5768
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3710
60.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7080
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7321
8.54 IPS |
|
|
Pose Estimation (HP)
|
92% |
12386
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15317
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2682
213.5 IPS |
|
|
Object Detection (Q)
|
85% |
5370
432.6 IPS |
|
|
Face Detection (SP)
|
100% |
4126
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
7541
89.6 IPS |
|
|
Face Detection (Q)
|
97% |
12550
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5723
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9846
76.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
12578
115.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9413
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
15048
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29400
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4891
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6529
241.9 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1468
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2048
35.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1280
34.4 IPS |
