Samsung Galaxy S24 Ultra
Geekbench AI Score
2231
Single Precision Score
3502
Half Precision Score
2852
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 04:10 AM |
| Views | 7 |
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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (Q)
|
100% |
1855
344.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4975
80.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5208
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11219
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20249
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18621
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (HP)
|
99% |
1789
141.9 IPS |
|
|
Object Detection (Q)
|
87% |
1822
146.3 IPS |
|
|
Face Detection (SP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7769
92.3 IPS |
|
|
Face Detection (Q)
|
97% |
6193
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5786
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8556
66.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6573
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14145
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30964
39.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29807
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3177
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5085
187.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4934
182.9 IPS |
|
|
Text Classification (SP)
|
35% |
56
541.3 IPS |
|
|
Text Classification (HP)
|
35% |
80
729.7 IPS |
|
|
Text Classification (Q)
|
33% |
70
841.5 IPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
97% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
43% |
260
14.8 IPS |
