Samsung Galaxy S25
Geekbench AI Score
2648
Single Precision Score
2625
Half Precision Score
4293
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 26 2025 10:33 AM |
| Views | 7 |
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% |
1979
367.9 IPS |
|
|
Image Classification (HP)
|
100% |
2029
377.4 IPS |
|
|
Image Classification (Q)
|
100% |
4394
817.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5457
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
12705
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.4 IPS |
|
|
Object Detection (HP)
|
98% |
1193
94.9 IPS |
|
|
Object Detection (Q)
|
83% |
2747
221.9 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
9671
115.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4680
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4613
35.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
10726
98.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10173
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9861
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18436
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6530
242.0 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
514
692.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
396
14.1 IPS |
