Samsung Galaxy S24 Ultra
Geekbench AI Score
1970
Single Precision Score
2004
Half Precision Score
3018
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 07:40 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-S928N |
| 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% |
1898
353.0 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (Q)
|
100% |
2784
517.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3200
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3428
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
7544
8.95 IPS |
|
|
Object Detection (SP)
|
98% |
1404
111.8 IPS |
|
|
Object Detection (HP)
|
98% |
1373
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
2008
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2832
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
4451
53.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2965
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2946
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4877
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6504
8.44 IPS |
|
|
Style Transfer (HP)
|
89% |
6658
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
12701
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3098
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
561
749.4 IPS |
|
|
Text Classification (HP)
|
99% |
566
755.5 IPS |
|
|
Text Classification (Q)
|
88% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
605
21.5 IPS |
