Samsung Galaxy S25 Ultra
Geekbench AI Score
724
Single Precision Score
27573
Half Precision Score
62453
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 08 2025 06:30 AM |
| Views | 4 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
456
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
20970
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
49212
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
13540
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42156
685.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
119643
139.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
479194
560.9 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
19568
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
22842
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
43690
519.1 IPS |
|
|
Face Detection (Q)
|
97% |
156717
1.87 KIPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
84633
652.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
146764
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1547
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
99125
127.8 IPS |
|
|
Style Transfer (Q)
|
98% |
496105
639.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54838
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134906
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
641
856.1 IPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8025
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3218
82.9 IPS |
