Samsung Galaxy S24 Ultra
Geekbench AI Score
519
Single Precision Score
23591
Half Precision Score
57628
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:57 PM |
| Views | 11 |
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% |
314
58.5 IPS |
|
|
Image Classification (HP)
|
100% |
18507
3.44 KIPS |
|
|
Image Classification (Q)
|
96% |
40785
7.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
10764
174.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
39808
647.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100963
117.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398071
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
16461
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
26192
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
747
8.88 IPS |
|
|
Face Detection (HP)
|
100% |
33775
401.3 IPS |
|
|
Face Detection (Q)
|
97% |
124749
1.49 KIPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
62185
479.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
141490
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1071
1.38 IPS |
|
|
Style Transfer (HP)
|
100% |
80218
103.1 IPS |
|
|
Style Transfer (Q)
|
98% |
414937
535.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45785
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103131
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
461
615.8 IPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
9834
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5473
94.3 IPS |
|
|
Machine Translation (Q)
|
55% |
3213
84.2 IPS |
