Samsung Galaxy S24 Ultra
Geekbench AI Score
2218
Single Precision Score
2357
Half Precision Score
3395
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Tomcat61 |
| Upload Date | August 16 2024 01:51 PM |
| Views | 2 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (Q)
|
100% |
3130
582.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3557
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3451
4.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
7836
9.29 IPS |
|
|
Object Detection (SP)
|
98% |
1725
137.3 IPS |
|
|
Object Detection (HP)
|
98% |
1711
136.2 IPS |
|
|
Object Detection (Q)
|
87% |
2489
199.9 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
5407
64.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
3373
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3349
25.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
6263
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8368
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8384
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15849
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3956
146.6 IPS |
|
|
Text Classification (SP)
|
100% |
732
977.1 IPS |
|
|
Text Classification (HP)
|
99% |
733
978.8 IPS |
|
|
Text Classification (Q)
|
88% |
573
772.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
772
27.4 IPS |
