Samsung Galaxy S25 Ultra
Geekbench AI Score
514
Single Precision Score
26688
Half Precision Score
59910
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 07:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| 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% |
433
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
21363
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49974
9.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
13500
218.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
41446
673.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
119610
139.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
476437
557.6 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
18338
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
21252
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
630
7.48 IPS |
|
|
Face Detection (HP)
|
100% |
38176
453.6 IPS |
|
|
Face Detection (Q)
|
97% |
127219
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
597
4.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
83154
640.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
141889
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
1093
1.41 IPS |
|
|
Style Transfer (HP)
|
98% |
98300
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
486790
627.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53318
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134547
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.1 IPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8051
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2984
76.9 IPS |
