samsung SM-S948U1
Geekbench AI Score
3251
Single Precision Score
4869
Half Precision Score
4147
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 01:52 AM |
| Views | 3 |
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 | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2372
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (Q)
|
100% |
2456
456.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3815
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6850
111.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7669
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15078
17.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
26939
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26703
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
99% |
2273
180.3 IPS |
|
|
Object Detection (Q)
|
85% |
2234
179.8 IPS |
|
|
Face Detection (SP)
|
100% |
6561
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
11173
132.8 IPS |
|
|
Face Detection (Q)
|
97% |
10492
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7727
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10484
81.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
8004
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18446
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40734
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40232
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6488
240.5 IPS |
|
|
Text Classification (SP)
|
35% |
105
1.02 KIPS |
|
|
Text Classification (HP)
|
35% |
107
969.0 IPS |
|
|
Text Classification (Q)
|
33% |
76
856.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (Q)
|
48% |
805
30.9 IPS |
