samsung SM-S938B
Geekbench AI Score
761
Single Precision Score
27764
Half Precision Score
63097
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 04:06 AM |
| Views | 3 |
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% |
474
88.1 IPS |
|
|
Image Classification (HP)
|
100% |
21393
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49563
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
13737
222.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42632
693.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
120762
140.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
480249
562.1 IPS |
|
|
Object Detection (SP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (HP)
|
100% |
19529
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
23309
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
44422
527.8 IPS |
|
|
Face Detection (Q)
|
97% |
164080
1.96 KIPS |
|
|
Depth Estimation (SP)
|
100% |
972
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
84560
651.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
146934
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1628
2.09 IPS |
|
|
Style Transfer (HP)
|
98% |
99088
127.8 IPS |
|
|
Style Transfer (Q)
|
98% |
494039
637.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54993
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135170
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
662
883.1 IPS |
|
|
Text Classification (HP)
|
100% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8068
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3256
83.9 IPS |
