Samsung Galaxy S24 Ultra
Geekbench AI Score
424
Single Precision Score
22340
Half Precision Score
50826
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 05:12 PM |
| Views | 3 |
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% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
18453
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
42015
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
11132
180.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31525
512.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
539
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
100176
116.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
398739
466.7 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
16263
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
19999
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
584
6.94 IPS |
|
|
Face Detection (HP)
|
100% |
33164
394.1 IPS |
|
|
Face Detection (Q)
|
97% |
117844
1.41 KIPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
64069
493.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
117574
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
813
1.05 IPS |
|
|
Style Transfer (HP)
|
98% |
85488
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422990
545.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44176
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103274
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
323
431.1 IPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6799
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2647
69.3 IPS |
