samsung SM-S938B
Geekbench AI Score
556
Single Precision Score
26778
Half Precision Score
59626
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gtimchenko |
| Upload Date | June 03 2025 05:50 AM |
| Views | 12 |
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% |
454
84.4 IPS |
|
|
Image Classification (HP)
|
100% |
21274
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49169
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
13672
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42548
691.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
744
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
123139
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
481199
563.2 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
18009
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20680
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
38440
456.8 IPS |
|
|
Face Detection (Q)
|
97% |
123501
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
84674
652.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
146345
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1484
1.91 IPS |
|
|
Style Transfer (HP)
|
98% |
98709
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
488605
630.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51948
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125821
4.66 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.1 IPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7869
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3121
80.4 IPS |
