Samsung Galaxy S24 Ultra
Geekbench AI Score
1968
Single Precision Score
3137
Half Precision Score
2427
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 01:33 AM |
| Views | 1 |
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-S928B |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
1950
362.6 IPS |
|
|
Image Classification (Q)
|
100% |
1985
369.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3820
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10844
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
19746
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19478
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.7 IPS |
|
|
Object Detection (HP)
|
99% |
1643
130.4 IPS |
|
|
Object Detection (Q)
|
87% |
1429
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (Q)
|
97% |
5936
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7456
57.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5637
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12293
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25760
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25527
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3832
142.0 IPS |
|
|
Text Classification (SP)
|
35% |
42
407.9 IPS |
|
|
Text Classification (HP)
|
35% |
63
572.0 IPS |
|
|
Text Classification (Q)
|
33% |
41
493.1 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
97% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
43% |
251
14.3 IPS |
