Samsung Galaxy S24 Ultra
Geekbench AI Score
1044
Single Precision Score
1418
Half Precision Score
1554
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | June 16 2025 06:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.8 IPS |
|
|
Image Classification (Q)
|
96% |
558
104.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1218
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2397
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2109
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
87% |
767
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
2346
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3660
28.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3064
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6188
7.95 IPS |
|
|
Style Transfer (HP)
|
100% |
10008
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9922
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1305
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.4 IPS |
|
|
Text Classification (HP)
|
100% |
442
590.2 IPS |
|
|
Text Classification (Q)
|
91% |
717
963.7 IPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
569
13.9 IPS |
