Samsung Galaxy S25
Geekbench AI Score
511
Single Precision Score
26832
Half Precision Score
60127
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 07:19 PM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
21349
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49342
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
13598
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
42102
684.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
123340
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
476901
558.2 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
18026
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
21007
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
39398
468.1 IPS |
|
|
Face Detection (Q)
|
97% |
136890
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
83230
641.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
141589
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
98633
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
489820
631.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53638
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134812
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
459
612.8 IPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7799
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2973
76.6 IPS |
