Samsung Galaxy S24 Ultra
Geekbench AI Score
2177
Single Precision Score
2271
Half Precision Score
3359
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 03:58 PM |
| Views | 1 |
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-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% |
1825
339.4 IPS |
|
|
Image Classification (HP)
|
100% |
2385
443.6 IPS |
|
|
Image Classification (Q)
|
100% |
2959
550.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3246
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
7515
8.91 IPS |
|
|
Object Detection (SP)
|
98% |
1607
127.9 IPS |
|
|
Object Detection (HP)
|
98% |
1596
127.0 IPS |
|
|
Object Detection (Q)
|
83% |
2318
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (Q)
|
95% |
5117
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3266
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3297
25.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5205
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8113
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8045
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15135
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3760
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
692
923.5 IPS |
|
|
Text Classification (HP)
|
99% |
694
926.0 IPS |
|
|
Text Classification (Q)
|
88% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
683
24.3 IPS |
