samsung SM-S948U1
Geekbench AI Score
640
Single Precision Score
32421
Half Precision Score
80851
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Napolitain |
| Upload Date | March 11 2026 02:48 AM |
| Views | 11 |
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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
25980
4.83 KIPS |
|
|
Image Classification (Q)
|
96% |
48873
9.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
16633
269.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
65184
1.06 KIPS |
|
|
Pose Estimation (SP)
|
100% |
802
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
158918
185.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
633677
741.7 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
24342
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
32675
2.63 KIPS |
|
|
Face Detection (SP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
48321
574.2 IPS |
|
|
Face Detection (Q)
|
97% |
164544
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
757
5.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
95597
736.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
202502
1.88 KIPS |
|
|
Style Transfer (SP)
|
100% |
1302
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
101717
130.8 IPS |
|
|
Style Transfer (Q)
|
98% |
595862
768.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57845
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173559
6.43 KIPS |
|
|
Text Classification (SP)
|
100% |
473
631.6 IPS |
|
|
Text Classification (HP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
11294
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6407
110.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4650
119.8 IPS |
