Samsung Galaxy S24 Ultra
Geekbench AI Score
490
Single Precision Score
22577
Half Precision Score
51490
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | August 15 2025 03:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
18392
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
41881
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
10942
177.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31415
510.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100300
117.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
399000
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
16517
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20484
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
35080
416.8 IPS |
|
|
Face Detection (Q)
|
97% |
123661
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
64492
496.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
117873
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
85549
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
423004
545.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45707
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
107942
4.00 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.0 IPS |
|
|
Text Classification (HP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6905
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2651
69.5 IPS |
