Samsung Galaxy S24 Ultra
Geekbench AI Score
423
Single Precision Score
22239
Half Precision Score
50662
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 08:12 PM |
| Views | 8 |
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% |
321
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
18197
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41985
7.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
11132
180.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31702
515.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
99895
116.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398643
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
16366
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20246
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
34510
410.1 IPS |
|
|
Face Detection (Q)
|
97% |
117726
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
64264
495.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
117693
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
830
1.07 IPS |
|
|
Style Transfer (HP)
|
98% |
85019
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
422407
544.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44127
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103081
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
301
401.2 IPS |
|
|
Text Classification (HP)
|
100% |
3069
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6786
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (Q)
|
55% |
2533
66.4 IPS |
