samsung SM-S948B
Geekbench AI Score
2464
Single Precision Score
4169
Half Precision Score
6130
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | GeekDiscord |
| Upload Date | March 13 2026 02:38 PM |
| Views | 7 |
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% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.8 IPS |
|
|
Image Classification (Q)
|
99% |
5575
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6675
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7204
8.41 IPS |
|
|
Pose Estimation (HP)
|
92% |
12238
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14232
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
97% |
2053
163.4 IPS |
|
|
Object Detection (Q)
|
85% |
4407
355.1 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5945
70.6 IPS |
|
|
Face Detection (Q)
|
97% |
10472
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4586
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8241
63.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
11327
104.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8151
10.6 IPS |
|
|
Style Transfer (HP)
|
88% |
12864
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25876
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4207
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6247
231.5 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1317
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1870
32.3 IPS |
|
|
Machine Translation (Q)
|
55% |
1273
34.2 IPS |
