Samsung Galaxy S24 Ultra
Geekbench AI Score
367
Single Precision Score
21799
Half Precision Score
49625
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 12:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S9280 |
| 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% |
307
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
18365
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
41780
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
10848
175.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31187
507.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
99463
116.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
396353
463.9 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
15613
1.24 KIPS |
|
|
Object Detection (Q)
|
86% |
20061
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
528
6.27 IPS |
|
|
Face Detection (HP)
|
100% |
31719
376.9 IPS |
|
|
Face Detection (Q)
|
97% |
106568
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
62908
484.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
113022
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
84947
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421076
543.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44171
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103357
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
270
360.1 IPS |
|
|
Text Classification (HP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2486
65.1 IPS |
