Samsung Galaxy S25 Ultra
Geekbench AI Score
721
Single Precision Score
27740
Half Precision Score
62639
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | July 19 2025 05:10 AM |
| Views | 7 |
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-S938U1 |
| 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% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
21501
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49408
9.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
13703
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42438
690.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
121368
141.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
478917
560.5 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
19732
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23009
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
43984
522.6 IPS |
|
|
Face Detection (Q)
|
97% |
158000
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
84569
651.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
146545
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1567
2.01 IPS |
|
|
Style Transfer (HP)
|
98% |
98890
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
494712
637.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54794
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134896
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
568
758.5 IPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8027
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3245
83.6 IPS |
