Samsung Galaxy S24 Ultra
Geekbench AI Score
421
Single Precision Score
22021
Half Precision Score
50160
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | markman |
| Upload Date | June 08 2025 04:27 PM |
| Views | 4 |
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-S928U |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
18128
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
41611
7.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
10723
173.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31161
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
99760
116.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398490
466.4 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
15836
1.26 KIPS |
|
|
Object Detection (Q)
|
86% |
19792
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (HP)
|
100% |
33993
403.9 IPS |
|
|
Face Detection (Q)
|
97% |
118725
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
546
4.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
63309
487.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
113592
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
98% |
84923
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
422010
544.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44091
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103632
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
314
418.7 IPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6777
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (HP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2467
64.6 IPS |
