samsung SM-S948B
Geekbench AI Score
2899
Single Precision Score
4862
Half Precision Score
7053
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 03:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1429
265.7 IPS |
|
|
Image Classification (HP)
|
100% |
2818
524.1 IPS |
|
|
Image Classification (Q)
|
99% |
5827
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3608
58.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7292
118.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7275
8.49 IPS |
|
|
Pose Estimation (HP)
|
92% |
12372
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
15067
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
97% |
2511
199.9 IPS |
|
|
Object Detection (Q)
|
85% |
5415
436.3 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7323
87.0 IPS |
|
|
Face Detection (Q)
|
97% |
12797
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9703
75.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11017
101.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9178
11.9 IPS |
|
|
Style Transfer (HP)
|
88% |
14526
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29664
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
5464
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7834
290.3 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
1883
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2325
40.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1426
38.3 IPS |
