Samsung Galaxy S25 Ultra
Geekbench AI Score
2514
Single Precision Score
2552
Half Precision Score
4406
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938Q |
| 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% |
1533
285.1 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.3 IPS |
|
|
Image Classification (Q)
|
100% |
4535
843.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5555
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5408
6.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
13231
15.7 IPS |
|
|
Object Detection (SP)
|
98% |
1409
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
1400
111.4 IPS |
|
|
Object Detection (Q)
|
83% |
2946
238.0 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3430
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
7170
85.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4486
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4285
33.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9992
91.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11406
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
11379
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24720
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2248
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4099
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.7 IPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
719
969.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
539
19.1 IPS |
