samsung SM-S948U1
Geekbench AI Score
3178
Single Precision Score
4932
Half Precision Score
4149
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 03:21 AM |
| Views | 4 |
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% |
1821
338.6 IPS |
|
|
Image Classification (HP)
|
100% |
2651
493.0 IPS |
|
|
Image Classification (Q)
|
100% |
2451
455.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7770
126.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7680
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
27026
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26801
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
99% |
2302
182.6 IPS |
|
|
Object Detection (Q)
|
85% |
2228
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6606
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
11371
135.1 IPS |
|
|
Face Detection (Q)
|
97% |
10184
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7750
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10567
81.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
8015
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18477
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40877
52.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40255
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6574
243.6 IPS |
|
|
Text Classification (SP)
|
35% |
110
1.07 KIPS |
|
|
Text Classification (HP)
|
35% |
107
971.0 IPS |
|
|
Text Classification (Q)
|
33% |
78
877.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (Q)
|
48% |
800
30.7 IPS |
