Samsung S25 Ultra - Samsung SM-S938W samsung SM-S938W
Geekbench AI Score
2670
Single Precision Score
2690
Half Precision Score
4317
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | microtechcs |
| Upload Date | February 16 2025 05:18 AM |
| Views | 8 |
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% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (Q)
|
100% |
4620
859.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5652
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5498
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
12804
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1723
137.1 IPS |
|
|
Object Detection (HP)
|
98% |
1687
134.3 IPS |
|
|
Object Detection (Q)
|
83% |
2124
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
4137
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4086
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
8599
102.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4575
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4531
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9012
82.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11504
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11541
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24875
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2322
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4590
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.1 IPS |
|
|
Text Classification (HP)
|
99% |
720
960.4 IPS |
|
|
Text Classification (Q)
|
88% |
627
846.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
571
20.3 IPS |
