Samsung Galaxy S24 Ultra
Geekbench AI Score
472
Single Precision Score
22418
Half Precision Score
51330
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
18082
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
41534
7.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
10946
177.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31453
511.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
97832
114.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
398522
466.4 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
16472
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20513
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
35470
421.5 IPS |
|
|
Face Detection (Q)
|
97% |
126487
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
589
4.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
64069
493.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
116273
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
977
1.26 IPS |
|
|
Style Transfer (HP)
|
98% |
85544
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
422300
544.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46023
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
108976
4.04 KIPS |
|
|
Text Classification (SP)
|
100% |
418
557.6 IPS |
|
|
Text Classification (HP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6874
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2556
67.0 IPS |
