Samsung Galaxy S24 Ultra
Geekbench AI Score
2266
Single Precision Score
2248
Half Precision Score
3213
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 01:51 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-S928W |
| 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
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
100% |
3695
687.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3634
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3843
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
4014
4.76 IPS |
|
|
Object Detection (SP)
|
98% |
1506
119.9 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.8 IPS |
|
|
Object Detection (Q)
|
83% |
2146
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5219
62.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3318
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3270
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5204
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8139
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8063
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14367
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3822
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
717
957.0 IPS |
|
|
Text Classification (HP)
|
99% |
669
893.1 IPS |
|
|
Text Classification (Q)
|
88% |
1012
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
672
23.9 IPS |
