Samsung Galaxy S24 Ultra
Geekbench AI Score
505
Single Precision Score
22571
Half Precision Score
51098
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 04:06 AM |
| Views | 4 |
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-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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
18303
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
41948
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
11149
180.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31573
513.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
100558
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398841
466.8 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
16373
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20312
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (HP)
|
100% |
35062
416.6 IPS |
|
|
Face Detection (Q)
|
97% |
123563
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
684
5.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
64393
496.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
117861
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1072
1.38 IPS |
|
|
Style Transfer (HP)
|
98% |
85523
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422584
544.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
351
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44606
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103081
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
424
566.3 IPS |
|
|
Text Classification (HP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6850
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2603
68.2 IPS |
