Samsung Galaxy S25 Ultra
Geekbench AI Score
486
Single Precision Score
26467
Half Precision Score
58789
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 04:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
21017
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
48709
9.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
13552
219.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42011
683.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
555
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
123185
143.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
476079
557.2 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
17910
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20651
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
38054
452.2 IPS |
|
|
Face Detection (Q)
|
97% |
120118
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
80675
621.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
138485
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
1033
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
98211
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
489760
631.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51822
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130114
4.82 KIPS |
|
|
Text Classification (SP)
|
100% |
364
486.2 IPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
7834
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2952
76.0 IPS |
