Samsung Galaxy S25
Geekbench AI Score
2900
Single Precision Score
2884
Half Precision Score
5254
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 12:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 |
| Model ID | samsung SM-S931B |
| 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
100% |
4557
847.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2560
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5571
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5586
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
13480
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1750
139.3 IPS |
|
|
Object Detection (HP)
|
98% |
1750
139.2 IPS |
|
|
Object Detection (Q)
|
83% |
4082
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (Q)
|
95% |
10076
120.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4737
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4609
35.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10817
99.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11849
15.4 IPS |
|
|
Style Transfer (HP)
|
89% |
11679
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25948
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6697
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1059
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
