Samsung Galaxy S24 Ultra
Geekbench AI Score
2731
Single Precision Score
3221
Half Precision Score
4469
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:24 PM |
| Views | 11 |
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% |
2352
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
99% |
3840
716.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2713
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4376
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4264
4.98 IPS |
|
|
Pose Estimation (HP)
|
92% |
8160
9.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
9712
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2156
171.6 IPS |
|
|
Object Detection (HP)
|
97% |
1587
126.4 IPS |
|
|
Object Detection (Q)
|
85% |
3331
268.4 IPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (Q)
|
97% |
6912
82.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
4397
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6573
50.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7399
68.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10355
13.4 IPS |
|
|
Style Transfer (HP)
|
88% |
9570
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19616
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3307
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4315
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
93% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1798
31.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1188
31.9 IPS |
