Samsung Galaxy S24 Ultra
Geekbench AI Score
2975
Single Precision Score
3027
Half Precision Score
4744
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:45 PM |
| Views | 2 |
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-S928U |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
2430
452.0 IPS |
|
|
Image Classification (Q)
|
100% |
3037
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2674
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4387
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4774
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4570
5.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
10613
12.6 IPS |
|
|
Object Detection (SP)
|
98% |
2301
183.1 IPS |
|
|
Object Detection (HP)
|
98% |
2345
186.6 IPS |
|
|
Object Detection (Q)
|
83% |
3271
264.2 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
8106
96.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4465
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4462
34.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7834
71.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10820
14.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10647
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20466
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2276
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5710
211.6 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
99% |
1111
1.48 KIPS |
|
|
Text Classification (Q)
|
88% |
1710
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (Q)
|
50% |
985
35.0 IPS |
