Samsung Galaxy S25 Ultra
Geekbench AI Score
2805
Single Precision Score
2661
Half Precision Score
5028
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2016
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (Q)
|
100% |
4129
767.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5209
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5402
6.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
12961
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1696
135.0 IPS |
|
|
Object Detection (HP)
|
98% |
1740
138.5 IPS |
|
|
Object Detection (Q)
|
83% |
3990
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (Q)
|
95% |
9565
114.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4564
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4561
35.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
10663
97.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11469
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11305
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24488
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6512
241.3 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
599
799.7 IPS |
|
|
Text Classification (Q)
|
88% |
1031
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
554
19.7 IPS |
