samsung SM-S938B
Geekbench AI Score
2595
Single Precision Score
2534
Half Precision Score
4234
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | norti |
| Upload Date | January 25 2025 03:26 PM |
| Views | 10 |
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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.3 IPS |
|
|
Image Classification (Q)
|
100% |
4623
859.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5240
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5279
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5325
6.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
12861
15.3 IPS |
|
|
Object Detection (SP)
|
98% |
1689
134.4 IPS |
|
|
Object Detection (HP)
|
98% |
1631
129.8 IPS |
|
|
Object Detection (Q)
|
83% |
3801
307.1 IPS |
|
|
Face Detection (SP)
|
100% |
4225
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4319
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
9342
111.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4437
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4410
34.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10030
91.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11020
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11086
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23729
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3101
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.8 IPS |
|
|
Text Classification (HP)
|
99% |
650
868.0 IPS |
|
|
Text Classification (Q)
|
88% |
443
597.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
