Samsung Galaxy S24 Ultra
Geekbench AI Score
2393
Single Precision Score
2495
Half Precision Score
3593
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 09:11 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
2329
433.2 IPS |
|
|
Image Classification (Q)
|
100% |
2827
525.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3409
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4727
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4394
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
8394
9.96 IPS |
|
|
Object Detection (SP)
|
98% |
1806
143.7 IPS |
|
|
Object Detection (HP)
|
98% |
1625
129.3 IPS |
|
|
Object Detection (Q)
|
83% |
2333
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
5712
68.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3281
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3363
26.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5811
53.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8775
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8811
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16701
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4240
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (HP)
|
99% |
719
959.6 IPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
732
26.0 IPS |
