Samsung Galaxy S24 Ultra
Geekbench AI Score
2798
Single Precision Score
2810
Half Precision Score
4353
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Antommotna |
| Upload Date | December 18 2024 07:49 PM |
| Views | 4 |
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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
2434
452.6 IPS |
|
|
Image Classification (Q)
|
100% |
3513
653.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2732
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4336
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4269
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4199
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
9700
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
2189
174.2 IPS |
|
|
Object Detection (HP)
|
98% |
2018
160.6 IPS |
|
|
Object Detection (Q)
|
83% |
2904
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
95% |
6566
78.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4065
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4128
31.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
7534
69.0 IPS |
|
|
Style Transfer (SP)
|
89% |
10405
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9924
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19920
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5115
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
99% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
1258
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (Q)
|
50% |
898
31.9 IPS |
