Samsung Galaxy S24 Ultra
Geekbench AI Score
2399
Single Precision Score
2339
Half Precision Score
3392
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 06:33 AM |
| Views | 3 |
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-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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (Q)
|
100% |
2664
495.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2613
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3816
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
7444
8.83 IPS |
|
|
Object Detection (SP)
|
98% |
1585
126.2 IPS |
|
|
Object Detection (HP)
|
98% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
83% |
2074
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (Q)
|
95% |
5469
65.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3411
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3077
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5175
47.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7876
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8324
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15768
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3647
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.4 IPS |
|
|
Text Classification (HP)
|
99% |
732
977.5 IPS |
|
|
Text Classification (Q)
|
88% |
1126
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
