Samsung Galaxy S24 Ultra
Geekbench AI Score
2170
Single Precision Score
3442
Half Precision Score
2665
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 05 2026 06:16 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
1955
363.5 IPS |
|
|
Image Classification (Q)
|
100% |
1832
340.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5139
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4203
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
19416
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19040
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1222
97.0 IPS |
|
|
Object Detection (HP)
|
99% |
1909
151.5 IPS |
|
|
Object Detection (Q)
|
87% |
1734
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
97% |
6219
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5728
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8573
66.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6364
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13806
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28997
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28830
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2943
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5178
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4840
179.4 IPS |
|
|
Text Classification (SP)
|
35% |
51
495.8 IPS |
|
|
Text Classification (HP)
|
35% |
67
610.8 IPS |
|
|
Text Classification (Q)
|
33% |
50
606.4 IPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
97% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
43% |
258
14.7 IPS |
