samsung SM-S938W
Geekbench AI Score
2226
Single Precision Score
2350
Half Precision Score
3993
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mystline |
| Upload Date | January 31 2025 08:21 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938W |
| Model ID | samsung SM-S938W |
| 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% |
1789
332.7 IPS |
|
|
Image Classification (HP)
|
100% |
1717
319.3 IPS |
|
|
Image Classification (Q)
|
100% |
4115
765.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5357
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4929
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4629
5.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
12102
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
770
61.3 IPS |
|
|
Object Detection (HP)
|
98% |
1148
91.3 IPS |
|
|
Object Detection (Q)
|
83% |
1281
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (Q)
|
95% |
8580
102.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2904
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4572
35.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10413
95.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10828
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10688
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24250
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4372
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.4 IPS |
|
|
Text Classification (HP)
|
99% |
677
903.4 IPS |
|
|
Text Classification (Q)
|
88% |
582
784.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
547
19.4 IPS |
