Samsung Galaxy S24 Ultra
Geekbench AI Score
2378
Single Precision Score
2412
Half Precision Score
3430
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
100% |
3276
609.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3985
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
8394
9.96 IPS |
|
|
Object Detection (SP)
|
98% |
1794
142.8 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
2603
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3501
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (Q)
|
95% |
5714
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3328
25.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5535
50.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8417
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8260
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9403
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3757
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.8 IPS |
|
|
Text Classification (HP)
|
99% |
653
871.0 IPS |
|
|
Text Classification (Q)
|
88% |
1055
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
672
23.9 IPS |
