Samsung Galaxy S24 Ultra
Geekbench AI Score
2472
Single Precision Score
2561
Half Precision Score
3924
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 07:27 PM |
| 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-S928U1 |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
100% |
3585
666.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4418
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4445
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4311
5.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
9943
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (HP)
|
98% |
1618
128.7 IPS |
|
|
Object Detection (Q)
|
83% |
2573
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
5494
65.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3685
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3825
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6060
55.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8826
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8823
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16726
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4257
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
722
963.4 IPS |
|
|
Text Classification (HP)
|
99% |
720
961.2 IPS |
|
|
Text Classification (Q)
|
88% |
1074
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1733
29.8 IPS |
|
|
Machine Translation (Q)
|
50% |
840
29.8 IPS |
