Samsung Galaxy S24 Ultra
Geekbench AI Score
342
Single Precision Score
21397
Half Precision Score
48506
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mohanadsinan |
| Upload Date | February 06 2025 11:04 PM |
| Views | 2 |
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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
17003
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
39526
7.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
10473
169.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29375
477.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
98744
115.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
396832
464.5 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
15047
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
18932
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
31764
377.4 IPS |
|
|
Face Detection (Q)
|
97% |
106227
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
62069
478.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
107913
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (HP)
|
98% |
84895
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421424
543.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44084
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103178
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
270
360.2 IPS |
|
|
Text Classification (HP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6745
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2459
64.4 IPS |
