samsung SM-S938B
Geekbench AI Score
2906
Single Precision Score
2844
Half Precision Score
5261
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | herrqless |
| Upload Date | February 22 2025 09:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (Q)
|
100% |
4616
858.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5465
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5629
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5571
6.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
12419
14.7 IPS |
|
|
Object Detection (SP)
|
98% |
1780
141.6 IPS |
|
|
Object Detection (HP)
|
98% |
1757
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
4156
335.7 IPS |
|
|
Face Detection (SP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
95% |
10299
123.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4601
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4771
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10941
100.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11681
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11534
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25302
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6937
257.0 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
88% |
1082
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1373
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
584
20.7 IPS |
