Samsung Galaxy S24 Ultra
Geekbench AI Score
1878
Single Precision Score
2856
Half Precision Score
2313
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:31 PM |
| Views | 3 |
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% |
1287
239.3 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
100% |
1810
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4907
79.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4920
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10830
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
17589
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17174
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
99% |
1484
117.7 IPS |
|
|
Object Detection (Q)
|
87% |
1437
115.4 IPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
6266
74.4 IPS |
|
|
Face Detection (Q)
|
97% |
5084
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4608
35.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6717
51.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5130
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25500
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24380
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3541
130.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3801
140.9 IPS |
|
|
Text Classification (SP)
|
35% |
35
342.1 IPS |
|
|
Text Classification (HP)
|
35% |
46
419.7 IPS |
|
|
Text Classification (Q)
|
33% |
36
434.7 IPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
97% |
837
14.5 IPS |
|
|
Machine Translation (Q)
|
43% |
230
13.1 IPS |
