Samsung Galaxy S25 Ultra
Geekbench AI Score
710
Single Precision Score
27701
Half Precision Score
62288
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Deimorin |
| Upload Date | August 22 2025 04:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.7 IPS |
|
|
Image Classification (HP)
|
100% |
21401
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49310
9.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
13769
223.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42517
691.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
123690
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
479707
561.5 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
19656
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
22926
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
43998
522.8 IPS |
|
|
Face Detection (Q)
|
97% |
155064
1.85 KIPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
84004
647.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
144772
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1499
1.93 IPS |
|
|
Style Transfer (HP)
|
98% |
98835
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
495275
638.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54626
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134563
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
570
760.2 IPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8048
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3167
81.6 IPS |
