Samsung Galaxy S24 Ultra
Geekbench AI Score
1890
Single Precision Score
1925
Half Precision Score
2791
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 09:18 AM |
| 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% |
1205
224.1 IPS |
|
|
Image Classification (HP)
|
100% |
1433
266.5 IPS |
|
|
Image Classification (Q)
|
100% |
2227
414.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2874
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3269
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2979
3.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
6921
8.21 IPS |
|
|
Object Detection (SP)
|
98% |
1323
105.3 IPS |
|
|
Object Detection (HP)
|
98% |
1478
117.6 IPS |
|
|
Object Detection (Q)
|
83% |
2040
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
95% |
4468
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2859
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4637
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7431
9.65 IPS |
|
|
Style Transfer (HP)
|
89% |
7220
9.37 IPS |
|
|
Style Transfer (Q)
|
98% |
11892
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2857
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
604
805.7 IPS |
|
|
Text Classification (HP)
|
99% |
598
798.4 IPS |
|
|
Text Classification (Q)
|
88% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
535
19.0 IPS |
