samsung SM-S948U1
Geekbench AI Score
2453
Single Precision Score
4069
Half Precision Score
5891
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 05:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
99% |
5695
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7064
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7494
8.74 IPS |
|
|
Pose Estimation (HP)
|
92% |
12090
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14293
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
97% |
1615
128.6 IPS |
|
|
Object Detection (Q)
|
85% |
3427
276.1 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5306
63.0 IPS |
|
|
Face Detection (Q)
|
97% |
8012
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4443
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8340
64.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
11078
101.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7993
10.4 IPS |
|
|
Style Transfer (HP)
|
88% |
12986
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26569
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2085
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4487
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6417
237.8 IPS |
|
|
Text Classification (SP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
93% |
1381
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2052
35.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1224
32.9 IPS |
