samsung SM-S948U1
Geekbench AI Score
396
Single Precision Score
31013
Half Precision Score
74840
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
26328
4.90 KIPS |
|
|
Image Classification (Q)
|
96% |
49806
9.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
16438
266.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
62018
1.01 KIPS |
|
|
Pose Estimation (SP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
162541
189.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
620686
726.5 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
22179
1.76 KIPS |
|
|
Object Detection (Q)
|
85% |
28637
2.30 KIPS |
|
|
Face Detection (SP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (HP)
|
100% |
43691
519.1 IPS |
|
|
Face Detection (Q)
|
97% |
127125
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
404
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
92307
711.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
191650
1.78 KIPS |
|
|
Style Transfer (SP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
97461
125.3 IPS |
|
|
Style Transfer (Q)
|
98% |
583550
752.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53695
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
164059
6.08 KIPS |
|
|
Text Classification (SP)
|
100% |
248
330.5 IPS |
|
|
Text Classification (HP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
10717
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (HP)
|
100% |
5975
102.9 IPS |
|
|
Machine Translation (Q)
|
56% |
4017
103.5 IPS |
