Samsung Galaxy S24 Ultra
Geekbench AI Score
2047
Single Precision Score
1944
Half Precision Score
2530
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 10:45 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-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% |
1813
337.2 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (Q)
|
100% |
2735
508.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3136
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3456
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
6126
7.27 IPS |
|
|
Object Detection (SP)
|
98% |
1486
118.2 IPS |
|
|
Object Detection (HP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (Q)
|
83% |
1451
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
95% |
2678
32.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3145
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3253
25.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5413
49.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8010
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8087
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14192
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1480
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2509
93.0 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.4 IPS |
|
|
Text Classification (HP)
|
99% |
375
500.3 IPS |
|
|
Text Classification (Q)
|
88% |
488
657.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
