Samsung Galaxy S25 Ultra
Geekbench AI Score
611
Single Precision Score
25683
Half Precision Score
57849
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2025 07:54 PM |
| Views | 23 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
19736
3.67 KIPS |
|
|
Image Classification (Q)
|
97% |
48120
8.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
534
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
12937
209.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
39214
637.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
674
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
111161
129.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
434063
508.0 IPS |
|
|
Object Detection (SP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (HP)
|
100% |
17492
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
20512
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
39361
467.7 IPS |
|
|
Face Detection (Q)
|
97% |
136042
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
824
6.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
78505
604.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
137184
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
1244
1.60 IPS |
|
|
Style Transfer (HP)
|
98% |
90998
117.3 IPS |
|
|
Style Transfer (Q)
|
98% |
453822
585.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51863
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
129204
4.79 KIPS |
|
|
Text Classification (SP)
|
100% |
496
662.4 IPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
7679
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (Q)
|
56% |
2973
76.6 IPS |
