Samsung Galaxy S25 Ultra
Geekbench AI Score
292
Single Precision Score
25292
Half Precision Score
55812
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zay |
| Upload Date | August 10 2025 06:11 PM |
| Views | 13 |
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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
19936
3.71 KIPS |
|
|
Image Classification (Q)
|
97% |
46110
8.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
12690
205.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
37313
606.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
346
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
121702
142.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
473988
554.8 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
16691
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
19672
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
34714
412.5 IPS |
|
|
Face Detection (Q)
|
97% |
111730
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
390
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
79901
615.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
132978
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
97926
126.3 IPS |
|
|
Style Transfer (Q)
|
98% |
488318
629.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51588
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
124927
4.63 KIPS |
|
|
Text Classification (SP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
7951
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
3819
65.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2537
65.4 IPS |
