Samsung Galaxy S24 Ultra
Geekbench AI Score
1108
Single Precision Score
1879
Half Precision Score
1755
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | markman |
| Upload Date | June 08 2025 04:07 PM |
| Views | 5 |
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-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% |
678
126.0 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1831
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2402
2.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
2346
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
87% |
1019
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
97% |
3976
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1740
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3507
27.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2994
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6620
8.51 IPS |
|
|
Style Transfer (HP)
|
100% |
10057
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9986
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
438
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1465
54.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.5 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.2 IPS |
|
|
Text Classification (Q)
|
91% |
724
972.7 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
574
14.0 IPS |
