Samsung Galaxy S24 Ultra
Geekbench AI Score
1071
Single Precision Score
1642
Half Precision Score
1420
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 09:20 AM |
| Views | 2 |
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% |
608
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2284
2.68 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
87% |
724
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1688
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1910
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4002
30.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3263
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6578
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
10832
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10704
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1297
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
453
605.3 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (Q)
|
91% |
739
993.2 IPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
584
14.3 IPS |
