Samsung Galaxy S24 Ultra
Geekbench AI Score
2882
Single Precision Score
2942
Half Precision Score
4612
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
2344
435.9 IPS |
|
|
Image Classification (Q)
|
100% |
3250
604.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2643
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4037
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4229
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4687
5.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
10778
12.8 IPS |
|
|
Object Detection (SP)
|
98% |
2057
163.7 IPS |
|
|
Object Detection (HP)
|
98% |
2077
165.2 IPS |
|
|
Object Detection (Q)
|
83% |
3170
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (Q)
|
95% |
7713
92.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4507
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4458
34.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7725
70.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11135
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11177
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22198
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5665
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
865
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1305
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (Q)
|
50% |
994
35.3 IPS |
