Samsung Galaxy S24 Ultra
Geekbench AI Score
2922
Single Precision Score
2932
Half Precision Score
4568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 06:34 AM |
| Views | 5 |
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-S928U1 |
| 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% |
2438
453.4 IPS |
|
|
Image Classification (HP)
|
100% |
2470
459.3 IPS |
|
|
Image Classification (Q)
|
100% |
3940
732.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4218
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4568
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4503
5.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
10261
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
2295
182.6 IPS |
|
|
Object Detection (HP)
|
98% |
2280
181.5 IPS |
|
|
Object Detection (Q)
|
83% |
3555
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
7635
91.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4283
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4094
31.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
7458
68.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10871
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10559
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20774
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5120
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
865
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1318
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (Q)
|
50% |
819
29.1 IPS |
