samsung SM-S948U1
Geekbench AI Score
628
Single Precision Score
604
Half Precision Score
1391
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 07:05 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% |
422
78.4 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
953
177.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
882
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
2240
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
87% |
973
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
2221
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
764
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
746
5.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1710
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1273
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1212
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3280
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1337
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.7 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.8 IPS |
|
|
Text Classification (Q)
|
91% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
57% |
703
17.2 IPS |
