Samsung Galaxy S24 Ultra
Geekbench AI Score
2798
Single Precision Score
2911
Half Precision Score
4636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tikizondo94 |
| Upload Date | September 20 2025 01:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.5 IPS |
|
|
Image Classification (Q)
|
100% |
3548
659.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4374
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4504
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4335
5.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
9763
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
2169
172.6 IPS |
|
|
Object Detection (HP)
|
98% |
2167
172.4 IPS |
|
|
Object Detection (Q)
|
83% |
3410
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (Q)
|
95% |
7726
92.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4250
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4325
33.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7048
64.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10305
13.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10132
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19917
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2030
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5303
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
1683
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
918
32.6 IPS |
