samsung SM-S948U1
Geekbench AI Score
3140
Single Precision Score
4811
Half Precision Score
4232
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 09 2026 04:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
2713
504.5 IPS |
|
|
Image Classification (Q)
|
100% |
2561
476.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3669
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6254
101.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6736
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14795
17.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
26736
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
26508
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.1 IPS |
|
|
Object Detection (HP)
|
99% |
2494
197.9 IPS |
|
|
Object Detection (Q)
|
85% |
2375
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
6612
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
11478
136.4 IPS |
|
|
Face Detection (Q)
|
97% |
10259
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7811
60.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10748
83.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
8259
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18104
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39475
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39590
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3877
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6887
255.2 IPS |
|
|
Text Classification (SP)
|
35% |
106
1.03 KIPS |
|
|
Text Classification (HP)
|
35% |
109
989.7 IPS |
|
|
Text Classification (Q)
|
33% |
86
962.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
48% |
854
32.8 IPS |
