Samsung Galaxy S24 Ultra
Geekbench AI Score
2089
Single Precision Score
2198
Half Precision Score
2906
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tgpadmanabha |
| Upload Date | September 18 2025 03:54 PM |
| Views | 6 |
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% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (Q)
|
100% |
2907
540.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2835
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2187
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
7324
8.69 IPS |
|
|
Object Detection (SP)
|
98% |
1655
131.7 IPS |
|
|
Object Detection (HP)
|
98% |
1627
129.5 IPS |
|
|
Object Detection (Q)
|
83% |
1747
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5109
61.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3330
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3285
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5227
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8007
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8016
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14887
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3752
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
699
933.2 IPS |
|
|
Text Classification (HP)
|
99% |
641
856.2 IPS |
|
|
Text Classification (Q)
|
88% |
641
864.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
427
15.2 IPS |
