samsung SM-S948U1
Geekbench AI Score
549
Single Precision Score
32391
Half Precision Score
80376
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 21 2026 04:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S948U1 |
| Model ID | samsung SM-S948U1 |
| 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% |
513
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
26453
4.92 KIPS |
|
|
Image Classification (Q)
|
96% |
50243
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16890
273.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
64927
1.06 KIPS |
|
|
Pose Estimation (SP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
161816
188.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
632375
740.2 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
24343
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
32160
2.59 KIPS |
|
|
Face Detection (SP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
48024
570.6 IPS |
|
|
Face Detection (Q)
|
97% |
155775
1.86 KIPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
93840
723.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
199454
1.85 KIPS |
|
|
Style Transfer (SP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
101324
130.3 IPS |
|
|
Style Transfer (Q)
|
98% |
612712
790.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57437
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
172616
6.40 KIPS |
|
|
Text Classification (SP)
|
100% |
346
461.6 IPS |
|
|
Text Classification (HP)
|
100% |
4237
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
11254
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6501
112.0 IPS |
|
|
Machine Translation (Q)
|
56% |
4587
118.2 IPS |
