Samsung Galaxy S24 Ultra
Geekbench AI Score
1905
Single Precision Score
3076
Half Precision Score
2338
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 11:27 AM |
| Views | 2 |
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% |
1482
275.5 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.4 IPS |
|
|
Image Classification (Q)
|
100% |
1866
346.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4796
77.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3862
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11096
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19921
23.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14816
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
949
75.2 IPS |
|
|
Object Detection (HP)
|
99% |
1596
126.6 IPS |
|
|
Object Detection (Q)
|
87% |
1562
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6504
77.3 IPS |
|
|
Face Detection (Q)
|
97% |
5030
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5326
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8417
65.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6429
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14240
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24057
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24852
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3358
124.5 IPS |
|
|
Text Classification (SP)
|
35% |
40
386.7 IPS |
|
|
Text Classification (HP)
|
35% |
59
535.6 IPS |
|
|
Text Classification (Q)
|
33% |
42
501.9 IPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
97% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
43% |
259
14.7 IPS |
