samsung SM-S938B
Geekbench AI Score
766
Single Precision Score
27940
Half Precision Score
62915
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 08 2025 05:23 PM |
| 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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
21685
4.03 KIPS |
|
|
Image Classification (Q)
|
97% |
49640
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
13730
222.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42408
689.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
123689
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479664
561.4 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
19755
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
22882
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
44538
529.2 IPS |
|
|
Face Detection (Q)
|
97% |
162738
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
981
7.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
84936
654.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
146662
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1621
2.08 IPS |
|
|
Style Transfer (HP)
|
98% |
99088
127.8 IPS |
|
|
Style Transfer (Q)
|
98% |
494798
638.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55026
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135395
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
666
888.8 IPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8046
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3269
84.2 IPS |
