Samsung Galaxy S25
Geekbench AI Score
479
Single Precision Score
26258
Half Precision Score
57677
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:01 AM |
| Views | 1 |
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-S931U1 |
| 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% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
21232
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
49420
9.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
13688
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
38935
633.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
122570
143.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
474616
555.5 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
17131
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19704
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (HP)
|
100% |
35730
424.6 IPS |
|
|
Face Detection (Q)
|
97% |
111825
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
81571
628.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
137205
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1025
1.32 IPS |
|
|
Style Transfer (HP)
|
98% |
98197
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
486558
627.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52671
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132540
4.91 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7835
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2921
75.2 IPS |
