Samsung Galaxy S24 Ultra
Geekbench AI Score
2326
Single Precision Score
2296
Half Precision Score
3476
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:45 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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
2381
442.8 IPS |
|
|
Image Classification (Q)
|
100% |
3517
654.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4390
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4278
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
7520
8.92 IPS |
|
|
Object Detection (SP)
|
98% |
1583
126.0 IPS |
|
|
Object Detection (HP)
|
98% |
1586
126.2 IPS |
|
|
Object Detection (Q)
|
83% |
2272
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
5131
61.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3155
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3131
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5263
48.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7955
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7840
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14910
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3729
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.5 IPS |
|
|
Text Classification (HP)
|
99% |
697
930.2 IPS |
|
|
Text Classification (Q)
|
88% |
964
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
675
24.0 IPS |
