samsung SM-S948U1
Geekbench AI Score
3109
Single Precision Score
4867
Half Precision Score
4134
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 02:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1802
335.1 IPS |
|
|
Image Classification (HP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (Q)
|
100% |
2321
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3808
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7688
124.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7716
125.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15035
17.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
27091
31.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26688
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
99% |
2292
181.8 IPS |
|
|
Object Detection (Q)
|
85% |
2205
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
6300
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
10962
130.3 IPS |
|
|
Face Detection (Q)
|
97% |
10035
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10416
80.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
8035
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18624
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40178
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40633
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6469
238.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6324
234.4 IPS |
|
|
Text Classification (SP)
|
35% |
104
1.02 KIPS |
|
|
Text Classification (HP)
|
35% |
107
970.5 IPS |
|
|
Text Classification (Q)
|
33% |
84
943.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (Q)
|
48% |
796
30.5 IPS |
