Samsung Galaxy S25 Ultra
Geekbench AI Score
611
Single Precision Score
28071
Half Precision Score
70431
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | April 16 2026 03:51 PM |
| Views | 2 |
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% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
21008
3.91 KIPS |
|
|
Image Classification (Q)
|
96% |
50625
9.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
13618
220.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
52027
846.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
679
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
123342
143.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
479967
561.8 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
19677
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
29698
2.39 KIPS |
|
|
Face Detection (SP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (HP)
|
100% |
40164
477.2 IPS |
|
|
Face Detection (Q)
|
97% |
143366
1.71 KIPS |
|
|
Depth Estimation (SP)
|
100% |
814
6.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
77482
597.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
176250
1.64 KIPS |
|
|
Style Transfer (SP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
92986
119.5 IPS |
|
|
Style Transfer (Q)
|
98% |
484676
625.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53846
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135926
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
459
612.2 IPS |
|
|
Text Classification (HP)
|
100% |
4413
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
11986
16.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6364
109.6 IPS |
|
|
Machine Translation (Q)
|
56% |
4010
103.3 IPS |
