Samsung Galaxy S24 Ultra
Geekbench AI Score
2178
Single Precision Score
3341
Half Precision Score
2652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 21 2025 08:56 AM |
| Views | 6 |
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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
1939
360.6 IPS |
|
|
Image Classification (Q)
|
100% |
1843
342.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3901
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11083
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20044
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19830
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1232
97.7 IPS |
|
|
Object Detection (HP)
|
99% |
1878
149.0 IPS |
|
|
Object Detection (Q)
|
87% |
1637
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
6563
78.0 IPS |
|
|
Face Detection (Q)
|
97% |
7042
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5739
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8451
65.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6432
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14017
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30197
38.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28595
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2975
109.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4512
167.2 IPS |
|
|
Text Classification (SP)
|
35% |
48
468.5 IPS |
|
|
Text Classification (HP)
|
35% |
66
604.4 IPS |
|
|
Text Classification (Q)
|
33% |
49
587.3 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
97% |
947
16.4 IPS |
|
|
Machine Translation (Q)
|
43% |
258
14.6 IPS |
