Samsung Galaxy S24 Ultra
Geekbench AI Score
2298
Single Precision Score
2345
Half Precision Score
3426
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:58 AM |
| 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-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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
2451
455.8 IPS |
|
|
Image Classification (Q)
|
100% |
3007
559.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4275
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3639
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
7529
8.93 IPS |
|
|
Object Detection (SP)
|
98% |
1465
116.6 IPS |
|
|
Object Detection (HP)
|
98% |
1663
132.3 IPS |
|
|
Object Detection (Q)
|
83% |
2132
172.3 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
4967
59.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3120
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3064
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5356
49.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8202
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8145
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15282
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3766
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.8 IPS |
|
|
Text Classification (HP)
|
99% |
701
935.3 IPS |
|
|
Text Classification (Q)
|
88% |
995
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
709
25.2 IPS |
