Samsung Galaxy S24 Ultra
Geekbench AI Score
2518
Single Precision Score
2484
Half Precision Score
3718
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Tomcat61 |
| Upload Date | January 29 2025 06:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
2451
455.9 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.3 IPS |
|
|
Image Classification (Q)
|
100% |
3529
656.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4099
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4220
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4072
4.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
9203
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1756
139.7 IPS |
|
|
Object Detection (HP)
|
98% |
1754
139.6 IPS |
|
|
Object Detection (Q)
|
83% |
2438
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5412
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3737
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3744
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5941
54.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8448
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8459
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15998
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4030
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.6 IPS |
|
|
Text Classification (HP)
|
99% |
741
989.4 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (Q)
|
50% |
728
25.8 IPS |
