Samsung Galaxy S24 Ultra
Geekbench AI Score
439
Single Precision Score
22339
Half Precision Score
51054
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | babyjoe |
| Upload Date | March 27 2025 10:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
18178
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41873
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
11046
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
31553
513.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
528
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
99762
116.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398641
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
16238
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
20207
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
638
7.58 IPS |
|
|
Face Detection (HP)
|
100% |
34817
413.7 IPS |
|
|
Face Detection (Q)
|
97% |
121187
1.45 KIPS |
|
|
Depth Estimation (SP)
|
100% |
573
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
64092
493.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
117703
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
872
1.12 IPS |
|
|
Style Transfer (HP)
|
98% |
84956
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
422809
545.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44026
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103613
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
335
447.7 IPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6858
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2638
69.1 IPS |
