Samsung Galaxy S24 Ultra
Geekbench AI Score
2795
Single Precision Score
2889
Half Precision Score
4328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 03:32 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-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% |
1498
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (Q)
|
100% |
3210
596.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2748
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3378
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4454
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4298
5.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
10094
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
2147
170.9 IPS |
|
|
Object Detection (HP)
|
98% |
2156
171.6 IPS |
|
|
Object Detection (Q)
|
83% |
3381
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4321
51.3 IPS |
|
|
Face Detection (Q)
|
95% |
7579
90.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4323
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4291
33.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7379
67.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10565
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10514
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20618
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2165
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2146
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5040
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
1298
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (Q)
|
50% |
827
29.4 IPS |
