samsung SM-S948B
Geekbench AI Score
2846
Single Precision Score
4722
Half Precision Score
6781
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | sensue |
| Upload Date | April 16 2026 07:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948B |
| Model ID | samsung SM-S948B |
| 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% |
1630
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
3026
562.8 IPS |
|
|
Image Classification (Q)
|
99% |
5732
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3708
60.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6832
111.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7504
8.76 IPS |
|
|
Pose Estimation (HP)
|
92% |
11921
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15075
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
2634
209.7 IPS |
|
|
Object Detection (Q)
|
85% |
5229
421.3 IPS |
|
|
Face Detection (SP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (Q)
|
97% |
12729
151.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5485
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9403
72.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
12549
115.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9152
11.9 IPS |
|
|
Style Transfer (HP)
|
88% |
14473
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29249
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5070
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7494
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (Q)
|
93% |
1472
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2093
36.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1293
34.7 IPS |
