samsung SM-S948B
Geekbench AI Score
525
Single Precision Score
32487
Half Precision Score
79498
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | March 04 2026 09:51 PM |
| Views | 11 |
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 | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
26590
4.94 KIPS |
|
|
Image Classification (Q)
|
96% |
49841
9.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
16415
266.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
64324
1.05 KIPS |
|
|
Pose Estimation (SP)
|
100% |
611
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
163167
190.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
630104
737.5 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
23916
1.90 KIPS |
|
|
Object Detection (Q)
|
85% |
31378
2.53 KIPS |
|
|
Face Detection (SP)
|
100% |
678
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
47591
565.5 IPS |
|
|
Face Detection (Q)
|
97% |
144990
1.73 KIPS |
|
|
Depth Estimation (SP)
|
100% |
596
4.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
96016
739.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
200527
1.86 KIPS |
|
|
Style Transfer (SP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
101427
130.4 IPS |
|
|
Style Transfer (Q)
|
98% |
611542
788.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57262
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
171153
6.34 KIPS |
|
|
Text Classification (SP)
|
100% |
350
466.7 IPS |
|
|
Text Classification (HP)
|
100% |
4371
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
11126
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6628
114.2 IPS |
|
|
Machine Translation (Q)
|
56% |
4698
121.0 IPS |
