samsung SM-S948B
Geekbench AI Score
2968
Single Precision Score
4262
Half Precision Score
3661
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 03 2026 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1779
330.8 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
100% |
2310
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4082
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6406
103.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6905
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14736
17.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
26323
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26386
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
99% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
85% |
1482
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
5944
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
9238
109.8 IPS |
|
|
Face Detection (Q)
|
97% |
9517
113.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10371
80.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7957
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18015
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40029
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39633
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5809
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5656
209.6 IPS |
|
|
Text Classification (SP)
|
35% |
95
925.3 IPS |
|
|
Text Classification (HP)
|
35% |
95
866.8 IPS |
|
|
Text Classification (Q)
|
33% |
79
881.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
48% |
518
19.9 IPS |
