Samsung Galaxy S24 Ultra
Geekbench AI Score
391
Single Precision Score
22007
Half Precision Score
50469
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 02:17 AM |
| Views | 5 |
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% |
249
46.4 IPS |
|
|
Image Classification (HP)
|
100% |
17328
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
41782
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
10815
175.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31302
509.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
429
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
99407
116.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
397134
464.8 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
15555
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19528
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
34032
404.4 IPS |
|
|
Face Detection (Q)
|
97% |
116110
1.38 KIPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
63226
487.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
116297
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
827
1.06 IPS |
|
|
Style Transfer (HP)
|
98% |
85377
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422953
545.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44200
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103622
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
343
458.3 IPS |
|
|
Text Classification (HP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6852
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2607
68.3 IPS |
