samsung SM-S938B
Geekbench AI Score
774
Single Precision Score
27656
Half Precision Score
62939
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 04 2025 11:07 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% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
21261
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
49588
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
13544
219.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42237
686.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
120225
140.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
480887
562.9 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
19500
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22760
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
44438
528.0 IPS |
|
|
Face Detection (Q)
|
97% |
163852
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
84881
654.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
147506
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
98% |
99007
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
495290
638.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53474
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134650
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
707
943.0 IPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8032
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4961
85.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3287
84.7 IPS |
