samsung SM-S948U1
Geekbench AI Score
2884
Single Precision Score
4831
Half Precision Score
6907
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 05:29 AM |
| Views | 5 |
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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
3027
563.0 IPS |
|
|
Image Classification (Q)
|
99% |
5858
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6844
111.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (HP)
|
92% |
12301
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14941
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2617
208.3 IPS |
|
|
Object Detection (Q)
|
85% |
5330
429.4 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7298
86.7 IPS |
|
|
Face Detection (Q)
|
97% |
12378
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5534
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10170
78.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
13281
121.9 IPS |
|
|
Style Transfer (SP)
|
89% |
9383
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
15273
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30177
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4670
173.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7033
260.6 IPS |
|
|
Text Classification (SP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1528
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1837
31.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2331
40.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1452
39.0 IPS |
