Samsung Galaxy S24 Ultra
Geekbench AI Score
518
Single Precision Score
16329
Half Precision Score
39421
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:40 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-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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
17540
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
40905
7.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
10952
177.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29472
479.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100494
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
399213
467.3 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
16417
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
19432
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
36001
427.8 IPS |
|
|
Face Detection (Q)
|
97% |
129037
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
666
5.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
61109
470.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
117495
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1055
1.36 IPS |
|
|
Style Transfer (HP)
|
24% |
3869
117.0 IPS |
|
|
Style Transfer (Q)
|
98% |
306286
395.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44565
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105203
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
454
605.3 IPS |
|
|
Text Classification (HP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6817
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (Q)
|
30% |
291
58.5 IPS |
