Samsung Galaxy S24 Ultra
Geekbench AI Score
2366
Single Precision Score
2419
Half Precision Score
3752
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | DrCereus |
| Upload Date | August 31 2024 10:00 AM |
| 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
100% |
3750
697.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2273
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4192
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3904
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
8667
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1618
128.7 IPS |
|
|
Object Detection (HP)
|
98% |
1716
136.5 IPS |
|
|
Object Detection (Q)
|
87% |
2244
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (Q)
|
95% |
5251
62.7 IPS |
|
|
Depth Estimation (SP)
|
98% |
3334
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3698
28.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
6539
53.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8476
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8812
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16059
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3925
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.9 IPS |
|
|
Text Classification (HP)
|
99% |
727
969.8 IPS |
|
|
Text Classification (Q)
|
88% |
1123
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
746
26.5 IPS |
