samsung SM-S938B
Geekbench AI Score
595
Single Precision Score
27279
Half Precision Score
61414
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sipos |
| Upload Date | March 12 2025 12:20 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938B |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
21033
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
49515
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
13720
222.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42419
689.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
122399
142.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
477695
559.1 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
19290
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22146
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
42813
508.7 IPS |
|
|
Face Detection (Q)
|
97% |
147940
1.76 KIPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
83868
646.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
143798
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1200
1.54 IPS |
|
|
Style Transfer (HP)
|
98% |
98818
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
490477
632.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53055
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134175
4.97 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.8 IPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7985
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3073
79.2 IPS |
