Samsung Galaxy S24 Ultra
Geekbench AI Score
334
Single Precision Score
21303
Half Precision Score
48208
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | May 03 2025 10:40 AM |
| Views | 6 |
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-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% |
201
37.3 IPS |
|
|
Image Classification (HP)
|
100% |
16374
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
36513
6.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
10508
170.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
29057
472.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
356
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
99071
115.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
396004
463.5 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
15122
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
19087
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (HP)
|
100% |
32259
383.3 IPS |
|
|
Face Detection (Q)
|
97% |
109497
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
440
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
60185
463.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
107335
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (HP)
|
98% |
85017
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
421548
543.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44059
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103425
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
302
402.9 IPS |
|
|
Text Classification (HP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6748
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2445
64.1 IPS |
