Samsung Galaxy S24 Ultra
Geekbench AI Score
470
Single Precision Score
22616
Half Precision Score
51786
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | May 03 2025 04:31 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
306
56.9 IPS |
|
|
Image Classification (HP)
|
100% |
18354
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
42140
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
11137
180.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31543
512.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
97961
114.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398969
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
16423
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20503
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
35420
420.9 IPS |
|
|
Face Detection (Q)
|
97% |
126767
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
64554
497.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
118077
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
982
1.26 IPS |
|
|
Style Transfer (HP)
|
98% |
85566
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422567
544.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46042
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
111196
4.12 KIPS |
|
|
Text Classification (SP)
|
100% |
416
555.8 IPS |
|
|
Text Classification (HP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6913
9.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2624
68.7 IPS |
