samsung SM-S948B
Geekbench AI Score
2845
Single Precision Score
4509
Half Precision Score
6705
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | tm1981 |
| Upload Date | April 04 2026 02:30 PM |
| Views | 10 |
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% |
1526
283.8 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.5 IPS |
|
|
Image Classification (Q)
|
99% |
5664
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6745
109.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7487
8.74 IPS |
|
|
Pose Estimation (HP)
|
92% |
11445
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14199
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2600
207.0 IPS |
|
|
Object Detection (Q)
|
85% |
4909
395.5 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
97% |
12099
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9333
72.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
12239
112.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9048
11.7 IPS |
|
|
Style Transfer (HP)
|
88% |
13968
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29364
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4975
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7963
295.1 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (Q)
|
93% |
1504
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1818
31.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1326
35.6 IPS |
