Samsung Galaxy S24 Ultra
Geekbench AI Score
2129
Single Precision Score
2153
Half Precision Score
3187
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:43 AM |
| Views | 2 |
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-S928U |
| 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% |
1953
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (Q)
|
100% |
3311
615.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3634
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
7522
8.92 IPS |
|
|
Object Detection (SP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (Q)
|
83% |
1298
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
5082
60.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3128
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5300
48.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7819
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7759
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14874
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3463
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.8 IPS |
|
|
Text Classification (HP)
|
99% |
647
863.3 IPS |
|
|
Text Classification (Q)
|
88% |
990
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
