Samsung Galaxy S24 Ultra
Geekbench AI Score
2689
Single Precision Score
2688
Half Precision Score
4086
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | February 05 2026 06:19 AM |
| Views | 5 |
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-S928N |
| 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% |
1892
351.9 IPS |
|
|
Image Classification (HP)
|
100% |
2254
419.1 IPS |
|
|
Image Classification (Q)
|
100% |
2427
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4131
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4049
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
8894
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
2049
163.1 IPS |
|
|
Object Detection (HP)
|
98% |
2055
163.5 IPS |
|
|
Object Detection (Q)
|
83% |
3084
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
6961
83.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3933
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3717
28.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6500
59.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9548
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9294
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18154
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2063
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4859
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1397
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
