Samsung Galaxy S24 Ultra
Geekbench AI Score
372
Single Precision Score
21868
Half Precision Score
49749
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Kiaedl |
| Upload Date | January 23 2025 02:44 PM |
| Views | 8 |
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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
18165
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
42154
7.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
11050
179.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
31394
510.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
99964
116.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
396925
464.6 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
15338
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
19076
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
32056
380.9 IPS |
|
|
Face Detection (Q)
|
97% |
107918
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
63464
489.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
114900
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
98% |
84838
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422523
544.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44176
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103592
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
302
402.5 IPS |
|
|
Text Classification (HP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6801
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2511
65.8 IPS |
