Samsung Galaxy S25 Ultra
Geekbench AI Score
429
Single Precision Score
26330
Half Precision Score
58062
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:27 AM |
| Views | 11 |
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% |
419
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
20820
3.87 KIPS |
|
|
Image Classification (Q)
|
97% |
49205
9.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
13703
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42203
686.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
121832
142.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
473344
554.0 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
18007
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20629
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
38064
452.3 IPS |
|
|
Face Detection (Q)
|
97% |
120209
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
81099
624.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
134355
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98235
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
488526
630.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51781
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127096
4.71 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.4 IPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7740
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2767
71.3 IPS |
