Samsung Galaxy S25 Ultra
Geekbench AI Score
2755
Single Precision Score
2739
Half Precision Score
5042
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 07:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (Q)
|
100% |
4403
818.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5107
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
13083
15.5 IPS |
|
|
Object Detection (SP)
|
98% |
1709
136.0 IPS |
|
|
Object Detection (HP)
|
98% |
1492
118.7 IPS |
|
|
Object Detection (Q)
|
83% |
3872
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (Q)
|
95% |
9566
114.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4385
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4415
34.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10620
97.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10925
14.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11566
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24672
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6490
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.5 IPS |
