Samsung Galaxy S24 Ultra
Geekbench AI Score
2160
Single Precision Score
2105
Half Precision Score
2986
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 04:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
1739
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.2 IPS |
|
|
Image Classification (Q)
|
100% |
2474
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3085
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3668
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3349
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7549
8.95 IPS |
|
|
Object Detection (SP)
|
98% |
1672
133.1 IPS |
|
|
Object Detection (HP)
|
98% |
1506
119.9 IPS |
|
|
Object Detection (Q)
|
83% |
1233
99.6 IPS |
|
|
Face Detection (SP)
|
100% |
3384
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (Q)
|
95% |
5036
60.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3107
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3147
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5313
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8160
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8119
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14329
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3547
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.9 IPS |
|
|
Text Classification (HP)
|
99% |
664
886.1 IPS |
|
|
Text Classification (Q)
|
88% |
1042
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
