Samsung Galaxy S24 Ultra
Geekbench AI Score
2364
Single Precision Score
2450
Half Precision Score
3658
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Jimbob1974 |
| Upload Date | January 08 2026 09:46 PM |
| Views | 4 |
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-S928U |
| 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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
100% |
3425
637.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4032
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3539
4.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
7910
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
1516
120.6 IPS |
|
|
Object Detection (HP)
|
98% |
1740
138.5 IPS |
|
|
Object Detection (Q)
|
83% |
2449
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
5404
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3702
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3665
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5695
52.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8512
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8474
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15801
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4007
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.5 IPS |
|
|
Text Classification (HP)
|
99% |
696
928.4 IPS |
|
|
Text Classification (Q)
|
88% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
725
25.8 IPS |
