Samsung Galaxy S24 Ultra
Geekbench AI Score
2947
Single Precision Score
2964
Half Precision Score
4801
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Wilhelm |
| Upload Date | January 24 2025 11:27 AM |
| Views | 5 |
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% |
2038
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
100% |
3856
717.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2743
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4333
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4484
5.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
10372
12.3 IPS |
|
|
Object Detection (SP)
|
98% |
2285
181.9 IPS |
|
|
Object Detection (HP)
|
98% |
2261
179.9 IPS |
|
|
Object Detection (Q)
|
83% |
3636
293.7 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (Q)
|
95% |
8085
96.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4436
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4546
35.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7168
65.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10218
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10323
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20589
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2199
81.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5479
203.0 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
99% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1647
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
959
34.0 IPS |
