Samsung Galaxy S24 Ultra
Geekbench AI Score
2212
Single Precision Score
2211
Half Precision Score
3145
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 10:51 PM |
| Views | 1 |
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% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
2150
399.8 IPS |
|
|
Image Classification (Q)
|
100% |
2443
454.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2997
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3619
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3342
3.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
7564
8.97 IPS |
|
|
Object Detection (SP)
|
98% |
1700
135.3 IPS |
|
|
Object Detection (HP)
|
98% |
1689
134.4 IPS |
|
|
Object Detection (Q)
|
83% |
2140
172.8 IPS |
|
|
Face Detection (SP)
|
100% |
3326
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (Q)
|
95% |
5133
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3007
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3161
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5258
48.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8106
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8086
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15296
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3582
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.6 IPS |
|
|
Text Classification (HP)
|
99% |
648
864.4 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
