Samsung Galaxy S24 Ultra
Geekbench AI Score
2396
Single Precision Score
2482
Half Precision Score
3722
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 30 2025 11:14 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-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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1802
335.1 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.4 IPS |
|
|
Image Classification (Q)
|
100% |
3145
584.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4475
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4388
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
8324
9.87 IPS |
|
|
Object Detection (SP)
|
98% |
1775
141.2 IPS |
|
|
Object Detection (HP)
|
98% |
1786
142.1 IPS |
|
|
Object Detection (Q)
|
83% |
2299
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3433
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5560
66.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3575
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3466
26.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5653
51.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8708
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8624
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16845
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4187
155.2 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
716
955.7 IPS |
|
|
Text Classification (Q)
|
88% |
1079
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (Q)
|
50% |
793
28.2 IPS |
