samsung SM-S948B
Geekbench AI Score
793
Single Precision Score
32513
Half Precision Score
82705
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 01 2026 08:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
25551
4.75 KIPS |
|
|
Image Classification (Q)
|
96% |
48691
9.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16577
268.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
64753
1.05 KIPS |
|
|
Pose Estimation (SP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
159561
186.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
653694
765.1 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
25087
1.99 KIPS |
|
|
Object Detection (Q)
|
85% |
34551
2.78 KIPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
50571
600.9 IPS |
|
|
Face Detection (Q)
|
97% |
186378
2.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
1013
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
95037
732.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
206538
1.92 KIPS |
|
|
Style Transfer (SP)
|
100% |
1671
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
98255
126.3 IPS |
|
|
Style Transfer (Q)
|
98% |
594698
766.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58095
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
173342
6.42 KIPS |
|
|
Text Classification (SP)
|
100% |
611
815.9 IPS |
|
|
Text Classification (HP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
11487
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6418
110.5 IPS |
|
|
Machine Translation (Q)
|
56% |
4613
118.8 IPS |
