Samsung Galaxy S24 Ultra
Geekbench AI Score
2284
Single Precision Score
2638
Half Precision Score
3670
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 03:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2419
449.8 IPS |
|
|
Image Classification (HP)
|
100% |
1869
347.6 IPS |
|
|
Image Classification (Q)
|
99% |
3012
561.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4272
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
92% |
6988
8.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
8457
9.91 IPS |
|
|
Object Detection (SP)
|
98% |
1691
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
1321
105.2 IPS |
|
|
Object Detection (Q)
|
85% |
2136
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
5566
66.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3584
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5400
41.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5893
54.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8755
11.4 IPS |
|
|
Style Transfer (HP)
|
88% |
8404
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15852
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2966
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4031
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.0 IPS |
|
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
93% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
96% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
55% |
889
23.9 IPS |
