samsung SM-S948U1
Geekbench AI Score
3119
Single Precision Score
4825
Half Precision Score
4093
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:29 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% |
1942
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
2753
512.0 IPS |
|
|
Image Classification (Q)
|
100% |
2565
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3819
61.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6713
108.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6791
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15022
17.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
26941
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26580
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
2258
179.1 IPS |
|
|
Object Detection (Q)
|
85% |
2276
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
11330
134.6 IPS |
|
|
Face Detection (Q)
|
97% |
9331
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7749
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10591
81.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
8040
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18467
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37701
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38850
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6465
238.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6593
244.3 IPS |
|
|
Text Classification (SP)
|
35% |
105
1.02 KIPS |
|
|
Text Classification (HP)
|
35% |
107
973.8 IPS |
|
|
Text Classification (Q)
|
33% |
84
945.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (Q)
|
48% |
777
29.8 IPS |
