Samsung Galaxy S25 Ultra
Geekbench AI Score
1957
Single Precision Score
2975
Half Precision Score
2564
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 01:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U |
| 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% |
1773
329.7 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.6 IPS |
|
|
Image Classification (Q)
|
100% |
3047
566.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3203
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5747
93.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5845
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13771
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24891
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24671
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
1018
80.7 IPS |
|
|
Object Detection (Q)
|
85% |
990
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
9066
107.7 IPS |
|
|
Face Detection (Q)
|
97% |
8127
96.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3224
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4358
33.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
3359
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8445
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17698
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17495
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2661
98.6 IPS |
|
|
Text Classification (SP)
|
35% |
38
373.0 IPS |
|
|
Text Classification (HP)
|
35% |
48
438.8 IPS |
|
|
Text Classification (Q)
|
33% |
40
452.8 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
48% |
556
21.3 IPS |
