Samsung Galaxy S24 Ultra
Geekbench AI Score
2360
Single Precision Score
2404
Half Precision Score
3511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 05:01 PM |
| 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-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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
100% |
2851
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3479
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4121
4.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
8509
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1915
152.4 IPS |
|
|
Object Detection (HP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (Q)
|
83% |
2218
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5481
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3218
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3264
25.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5583
51.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8415
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8458
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16330
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4035
149.5 IPS |
|
|
Text Classification (SP)
|
100% |
697
929.7 IPS |
|
|
Text Classification (HP)
|
99% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
717
25.5 IPS |
