Samsung Galaxy S24 Ultra
Geekbench AI Score
443
Single Precision Score
442
Half Precision Score
984
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 09:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
265
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (Q)
|
99% |
693
129.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1835
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
741
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (Q)
|
97% |
1501
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
577
4.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1324
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
876
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
2106
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1032
38.2 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.7 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.0 IPS |
|
|
Text Classification (Q)
|
91% |
601
808.3 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
503
12.3 IPS |
