samsung SM-S948B
Geekbench AI Score
2828
Single Precision Score
4771
Half Precision Score
6651
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Strat |
| Upload Date | March 07 2026 10:04 PM |
| Views | 6 |
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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (Q)
|
99% |
5432
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3479
56.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6949
113.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7164
8.36 IPS |
|
|
Pose Estimation (HP)
|
92% |
11742
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13939
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2578
205.2 IPS |
|
|
Object Detection (Q)
|
85% |
5262
423.9 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (Q)
|
97% |
12324
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5379
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9256
71.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
12193
111.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8993
11.7 IPS |
|
|
Style Transfer (HP)
|
88% |
14066
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28141
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5684
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8142
301.7 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1724
29.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2224
38.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1169
31.4 IPS |
