Samsung Galaxy S24 Ultra
Geekbench AI Score
385
Single Precision Score
22997
Half Precision Score
56109
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:47 PM |
| Views | 10 |
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-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% |
308
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
18340
3.41 KIPS |
|
|
Image Classification (Q)
|
96% |
42100
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
10767
174.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
39794
647.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
100403
117.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
397041
464.7 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
15766
1.25 KIPS |
|
|
Object Detection (Q)
|
86% |
24691
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
31187
370.6 IPS |
|
|
Face Detection (Q)
|
97% |
107408
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
61857
476.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
141080
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
79529
102.2 IPS |
|
|
Style Transfer (Q)
|
98% |
413574
533.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43957
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
102745
3.81 KIPS |
|
|
Text Classification (SP)
|
100% |
300
400.4 IPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
9880
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (HP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2960
77.6 IPS |
