samsung SM-S948B
Geekbench AI Score
2557
Single Precision Score
4301
Half Precision Score
6130
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 03 2026 08:44 PM |
| Views | 8 |
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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
99% |
5492
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7016
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7162
8.36 IPS |
|
|
Pose Estimation (HP)
|
92% |
12251
14.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14917
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (HP)
|
97% |
2210
176.0 IPS |
|
|
Object Detection (Q)
|
85% |
4631
373.1 IPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (Q)
|
97% |
10779
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4883
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8302
64.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
12126
111.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8425
10.9 IPS |
|
|
Style Transfer (HP)
|
88% |
13552
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26600
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
4454
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5845
216.6 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1152
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1529
26.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1997
34.5 IPS |
|
|
Machine Translation (Q)
|
55% |
1204
32.3 IPS |
