samsung SM-S948U1
Geekbench AI Score
2745
Single Precision Score
4605
Half Precision Score
6466
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 04:41 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (Q)
|
99% |
5445
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3741
60.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7108
115.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (HP)
|
92% |
12259
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
15530
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
85% |
4783
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6655
79.1 IPS |
|
|
Face Detection (Q)
|
97% |
11525
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9392
72.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
12909
118.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9205
11.9 IPS |
|
|
Style Transfer (HP)
|
88% |
15009
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29633
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4486
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6526
241.8 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (Q)
|
93% |
1223
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2212
38.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1263
33.9 IPS |
