Samsung Galaxy S24 Ultra
Geekbench AI Score
2412
Single Precision Score
2345
Half Precision Score
3422
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 03:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1867
347.1 IPS |
|
|
Image Classification (HP)
|
100% |
1867
347.2 IPS |
|
|
Image Classification (Q)
|
100% |
1884
350.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3984
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4414
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3475
4.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
7910
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
1726
137.4 IPS |
|
|
Object Detection (HP)
|
98% |
1725
137.3 IPS |
|
|
Object Detection (Q)
|
83% |
2436
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
3379
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
5402
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3516
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3478
26.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5648
51.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8448
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8450
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15124
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4024
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (HP)
|
99% |
691
921.9 IPS |
|
|
Text Classification (Q)
|
88% |
1158
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
50% |
710
25.2 IPS |
