Samsung Galaxy S24 Ultra
Geekbench AI Score
2243
Single Precision Score
2238
Half Precision Score
3262
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1962
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
2344
436.0 IPS |
|
|
Image Classification (Q)
|
100% |
3481
647.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3292
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3252
3.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
7466
8.85 IPS |
|
|
Object Detection (SP)
|
98% |
1592
126.7 IPS |
|
|
Object Detection (HP)
|
98% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
83% |
1655
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
5034
60.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3155
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3189
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5233
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7957
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7914
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14782
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1640
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3789
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.2 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.1 IPS |
|
|
Text Classification (Q)
|
88% |
978
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
668
23.7 IPS |
