samsung SM-S948U1
Geekbench AI Score
2977
Single Precision Score
4993
Half Precision Score
7122
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 20 2026 07:49 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
99% |
5746
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3576
58.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7161
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7960
9.29 IPS |
|
|
Pose Estimation (HP)
|
92% |
12696
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16005
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2630
209.4 IPS |
|
|
Object Detection (Q)
|
85% |
5296
426.6 IPS |
|
|
Face Detection (SP)
|
100% |
4185
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7572
90.0 IPS |
|
|
Face Detection (Q)
|
97% |
12767
152.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9879
76.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
12998
119.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9423
12.2 IPS |
|
|
Style Transfer (HP)
|
88% |
15093
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29884
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5796
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8482
314.3 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
93% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2347
40.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1430
38.4 IPS |
