Samsung Galaxy S25
Geekbench AI Score
519
Single Precision Score
26835
Half Precision Score
59520
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | September 18 2025 08:24 PM |
| Views | 10 |
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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
20977
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
45520
8.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
13410
217.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
40420
657.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
524
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
122382
142.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
473329
554.0 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
19266
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
22484
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
39958
474.8 IPS |
|
|
Face Detection (Q)
|
97% |
131816
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
703
5.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
83411
642.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
143684
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1183
1.52 IPS |
|
|
Style Transfer (HP)
|
98% |
98538
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490094
632.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52737
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132865
4.92 KIPS |
|
|
Text Classification (SP)
|
100% |
395
527.7 IPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8015
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4328
74.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2883
74.3 IPS |
