Samsung Galaxy S25 Ultra
Geekbench AI Score
520
Single Precision Score
26691
Half Precision Score
59434
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | bassiek |
| Upload Date | June 30 2025 11:11 PM |
| Views | 4 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
21423
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49148
9.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13524
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42224
686.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
123490
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476808
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
18130
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
21261
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
39428
468.5 IPS |
|
|
Face Detection (Q)
|
97% |
127507
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
80956
623.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
135846
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
1149
1.48 IPS |
|
|
Style Transfer (HP)
|
98% |
98611
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
490346
632.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52628
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
132580
4.91 KIPS |
|
|
Text Classification (SP)
|
100% |
394
526.5 IPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7890
10.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2943
75.8 IPS |
