samsung SM-S938Q
Geekbench AI Score
2844
Single Precision Score
2812
Half Precision Score
5046
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mamiyoshi |
| Upload Date | April 28 2025 02:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938Q |
| Model ID | samsung SM-S938Q |
| 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% |
1965
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
100% |
4360
810.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5239
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5455
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5217
6.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
12988
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1774
141.2 IPS |
|
|
Object Detection (HP)
|
98% |
1748
139.1 IPS |
|
|
Object Detection (Q)
|
83% |
3978
321.3 IPS |
|
|
Face Detection (SP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4477
53.2 IPS |
|
|
Face Detection (Q)
|
95% |
9893
118.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4595
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4673
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10627
97.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11495
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11506
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24301
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2399
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6344
235.1 IPS |
|
|
Text Classification (SP)
|
100% |
952
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1021
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
