Samsung Galaxy S25 Ultra
Geekbench AI Score
560
Single Precision Score
26990
Half Precision Score
60164
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 07 2025 11:42 AM |
| Views | 5 |
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-S938Q |
| 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% |
445
82.8 IPS |
|
|
Image Classification (HP)
|
100% |
21126
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49101
9.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
13437
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
41289
671.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
123268
143.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
477077
558.4 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
18603
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21436
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (HP)
|
100% |
41449
492.5 IPS |
|
|
Face Detection (Q)
|
97% |
139578
1.66 KIPS |
|
|
Depth Estimation (SP)
|
100% |
706
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
83498
643.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
143342
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1208
1.55 IPS |
|
|
Style Transfer (HP)
|
98% |
98784
127.4 IPS |
|
|
Style Transfer (Q)
|
98% |
490908
633.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52742
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133539
4.95 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.0 IPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7918
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4505
77.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2886
74.3 IPS |
