Samsung Galaxy S24 Ultra
Geekbench AI Score
460
Single Precision Score
22489
Half Precision Score
51291
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 04:35 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-S928U1 |
| 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% |
323
60.2 IPS |
|
|
Image Classification (HP)
|
100% |
18189
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
42155
7.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
11102
180.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31653
514.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100528
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398946
466.9 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
16494
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20540
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
35467
421.4 IPS |
|
|
Face Detection (Q)
|
97% |
125851
1.50 KIPS |
|
|
Depth Estimation (SP)
|
100% |
645
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
64200
494.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
118309
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
877
1.13 IPS |
|
|
Style Transfer (HP)
|
98% |
85482
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422091
544.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44182
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103294
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
334
445.6 IPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6715
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2644
69.3 IPS |
