Samsung Galaxy S25
Geekbench AI Score
509
Single Precision Score
26738
Half Precision Score
60134
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 15 2025 07:36 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
427
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
20015
3.72 KIPS |
|
|
Image Classification (Q)
|
97% |
48610
9.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
13460
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40459
657.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
123470
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
478451
560.0 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
19389
1.54 KIPS |
|
|
Object Detection (Q)
|
85% |
22421
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
39896
474.0 IPS |
|
|
Face Detection (Q)
|
97% |
132428
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
81011
624.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
143230
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1068
1.37 IPS |
|
|
Style Transfer (HP)
|
98% |
97871
126.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491180
633.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54027
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135935
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
317
422.6 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7926
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2920
75.2 IPS |
