Samsung Galaxy S24 Ultra
Geekbench AI Score
2731
Single Precision Score
2751
Half Precision Score
4316
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 14 2024 04:22 PM |
| Views | 10 |
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-S928N |
| 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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (Q)
|
100% |
3250
604.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4132
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3945
4.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
9217
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1785
142.0 IPS |
|
|
Object Detection (HP)
|
98% |
2089
166.2 IPS |
|
|
Object Detection (Q)
|
83% |
3196
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (Q)
|
95% |
7235
86.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3840
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3767
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6542
59.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10101
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9549
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18488
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2072
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4702
174.2 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
99% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1601
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
862
30.6 IPS |
