Samsung Galaxy S24 Ultra
Geekbench AI Score
921
Single Precision Score
1401
Half Precision Score
1410
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 10:49 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% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.3 IPS |
|
|
Image Classification (Q)
|
96% |
495
92.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2297
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1029
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1790
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
1781
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
100% |
775
61.5 IPS |
|
|
Object Detection (Q)
|
87% |
754
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3414
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
3378
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1317
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2654
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2203
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4561
5.86 IPS |
|
|
Style Transfer (HP)
|
100% |
7576
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
7630
9.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1055
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
383
510.9 IPS |
|
|
Text Classification (HP)
|
100% |
395
526.9 IPS |
|
|
Text Classification (Q)
|
91% |
666
895.7 IPS |
|
|
Machine Translation (SP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
511
12.5 IPS |
