samsung SM-S948B
Geekbench AI Score
2920
Single Precision Score
4437
Half Precision Score
3810
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 04 2026 09:39 PM |
| Views | 7 |
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 | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.2 IPS |
|
|
Image Classification (Q)
|
100% |
3392
630.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3823
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7022
113.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6623
107.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15086
17.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
26785
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26802
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
1557
123.5 IPS |
|
|
Object Detection (Q)
|
85% |
1524
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
9378
111.4 IPS |
|
|
Face Detection (Q)
|
97% |
8664
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7734
59.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10410
80.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
8078
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18639
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40655
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40295
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5658
209.7 IPS |
|
|
Text Classification (SP)
|
35% |
99
964.4 IPS |
|
|
Text Classification (HP)
|
35% |
104
941.6 IPS |
|
|
Text Classification (Q)
|
33% |
82
922.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (Q)
|
48% |
537
20.6 IPS |
