samsung SM-S948U1
Geekbench AI Score
727
Single Precision Score
715
Half Precision Score
1573
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 06:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
99% |
1243
231.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
2640
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (Q)
|
87% |
1088
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2419
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
922
7.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
883
6.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1952
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1432
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1374
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
4091
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1580
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
570
761.0 IPS |
|
|
Text Classification (HP)
|
100% |
613
818.0 IPS |
|
|
Text Classification (Q)
|
91% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
57% |
701
17.1 IPS |
