Samsung Galaxy S24 Ultra
Geekbench AI Score
2739
Single Precision Score
2750
Half Precision Score
4353
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jkovacs87 |
| Upload Date | January 25 2025 01:54 PM |
| Views | 15 |
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% |
2047
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
2451
455.8 IPS |
|
|
Image Classification (Q)
|
100% |
3523
655.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2767
44.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4487
73.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4383
5.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
10096
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
2229
177.4 IPS |
|
|
Object Detection (HP)
|
98% |
2252
179.2 IPS |
|
|
Object Detection (Q)
|
83% |
3192
257.9 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (Q)
|
95% |
7780
92.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4091
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4016
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7251
66.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10171
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8741
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16840
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4234
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1184
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
1009
35.8 IPS |
