Samsung Galaxy S25
Geekbench AI Score
2671
Single Precision Score
2746
Half Precision Score
4890
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
1971
366.5 IPS |
|
|
Image Classification (Q)
|
100% |
4527
842.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5187
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5447
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5341
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
10625
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
1286
102.3 IPS |
|
|
Object Detection (HP)
|
98% |
1591
126.6 IPS |
|
|
Object Detection (Q)
|
83% |
3778
305.2 IPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (Q)
|
95% |
9987
119.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4769
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4740
36.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
9455
86.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10583
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11354
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24266
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6310
233.8 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
99% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
