Samsung Galaxy S24 Ultra
Geekbench AI Score
1859
Single Precision Score
2695
Half Precision Score
2297
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 11:15 PM |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (Q)
|
100% |
1812
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5103
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10816
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
19623
23.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
19194
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
99% |
828
65.6 IPS |
|
|
Object Detection (Q)
|
87% |
1225
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (Q)
|
97% |
4345
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3906
30.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5825
45.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
4889
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10647
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23302
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21238
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3793
140.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3701
137.2 IPS |
|
|
Text Classification (SP)
|
35% |
38
368.6 IPS |
|
|
Text Classification (HP)
|
35% |
50
452.7 IPS |
|
|
Text Classification (Q)
|
33% |
44
528.9 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
97% |
934
16.2 IPS |
|
|
Machine Translation (Q)
|
43% |
256
14.6 IPS |
