Samsung Galaxy S24 Ultra
Geekbench AI Score
1955
Single Precision Score
1880
Half Precision Score
2798
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | dimgod728 |
| Upload Date | September 10 2024 08:36 AM |
| Views | 4 |
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-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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (HP)
|
100% |
1364
253.6 IPS |
|
|
Image Classification (Q)
|
100% |
2472
459.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2872
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3369
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
6057
7.18 IPS |
|
|
Object Detection (SP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
1350
107.4 IPS |
|
|
Object Detection (Q)
|
83% |
1885
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
4245
50.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2772
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2755
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4202
38.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6592
8.56 IPS |
|
|
Style Transfer (HP)
|
89% |
6635
8.61 IPS |
|
|
Style Transfer (Q)
|
98% |
12470
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3104
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.6 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.3 IPS |
|
|
Text Classification (Q)
|
88% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
