Samsung Galaxy S25 Ultra
Geekbench AI Score
775
Single Precision Score
27936
Half Precision Score
63346
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2025 02:21 AM |
| Views | 28 |
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-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% |
478
88.9 IPS |
|
|
Image Classification (HP)
|
100% |
21513
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
50359
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13759
223.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
42801
696.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
801
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
124065
144.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
481533
563.6 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
19773
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23410
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
44271
526.0 IPS |
|
|
Face Detection (Q)
|
97% |
159560
1.90 KIPS |
|
|
Depth Estimation (SP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
84648
652.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
147772
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1635
2.10 IPS |
|
|
Style Transfer (HP)
|
98% |
98839
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
496242
639.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55229
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135563
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
8231
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4926
84.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3280
84.5 IPS |
