Samsung Galaxy S24 Ultra
Geekbench AI Score
1061
Single Precision Score
1663
Half Precision Score
1683
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zenckers81 |
| Upload Date | June 13 2025 12:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
834
155.2 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2455
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1058
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1926
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (Q)
|
87% |
955
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (Q)
|
97% |
3351
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1645
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3543
27.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3045
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6601
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10795
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10693
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1405
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.9 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.1 IPS |
|
|
Text Classification (Q)
|
91% |
718
964.5 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
568
13.9 IPS |
