samsung SM-S938Q
Geekbench AI Score
982
Single Precision Score
1677
Half Precision Score
1610
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | idanbo |
| Upload Date | February 02 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
513
95.4 IPS |
|
|
Image Classification (HP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (Q)
|
99% |
866
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
1777
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
871
69.9 IPS |
|
|
Face Detection (SP)
|
100% |
2072
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (Q)
|
97% |
3648
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1129
8.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
3045
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2439
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3620
4.65 IPS |
|
|
Style Transfer (HP)
|
100% |
8194
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8195
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1419
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.3 IPS |
|
|
Text Classification (HP)
|
100% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
91% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
644
15.7 IPS |
