Samsung Galaxy S24 Ultra
Geekbench AI Score
2309
Single Precision Score
2289
Half Precision Score
3527
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 06:46 AM |
| Views | 55 |
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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.5 IPS |
|
|
Image Classification (Q)
|
100% |
3482
647.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3990
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
7437
8.82 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (HP)
|
98% |
1582
125.9 IPS |
|
|
Object Detection (Q)
|
87% |
2344
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5112
61.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
3187
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3140
24.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
5954
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7947
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7877
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14927
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3697
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.5 IPS |
|
|
Text Classification (HP)
|
99% |
669
892.6 IPS |
|
|
Text Classification (Q)
|
88% |
1018
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
720
25.6 IPS |
