Samsung Galaxy S24 Ultra
Geekbench AI Score
2673
Single Precision Score
2586
Half Precision Score
4065
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:12 AM |
| 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% |
2401
446.5 IPS |
|
|
Image Classification (HP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (Q)
|
100% |
3476
646.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2765
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2688
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4461
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4233
4.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
9942
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1937
154.1 IPS |
|
|
Object Detection (HP)
|
98% |
1590
126.5 IPS |
|
|
Object Detection (Q)
|
83% |
2353
190.0 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (Q)
|
95% |
5699
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3517
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3549
27.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5864
53.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8814
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9966
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20019
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2138
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5123
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1222
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
811
28.8 IPS |
