Samsung Galaxy S24 Ultra
Geekbench AI Score
2575
Single Precision Score
2578
Half Precision Score
3977
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 08:51 PM |
| Views | 1 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
100% |
2713
504.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3443
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4058
4.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
9572
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2076
165.2 IPS |
|
|
Object Detection (HP)
|
98% |
1830
145.6 IPS |
|
|
Object Detection (Q)
|
83% |
2639
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (Q)
|
95% |
6566
78.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3754
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3671
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6570
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9664
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9618
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18228
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4790
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1272
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (Q)
|
50% |
876
31.1 IPS |
