Samsung Galaxy S24 Ultra
Geekbench AI Score
355
Single Precision Score
21814
Half Precision Score
49740
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bjoernt |
| Upload Date | April 14 2025 02:39 AM |
| Views | 3 |
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-S928U |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (HP)
|
100% |
17240
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
41984
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
10912
176.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29638
481.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
350
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
100054
116.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397516
465.3 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
15494
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19233
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
32763
389.3 IPS |
|
|
Face Detection (Q)
|
97% |
112062
1.34 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
63039
485.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
114091
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
766
0.98 IPS |
|
|
Style Transfer (HP)
|
98% |
84770
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
421956
544.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
235
8.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44293
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104018
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (HP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6883
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2523
66.1 IPS |
