Samsung Galaxy S24 Ultra
Geekbench AI Score
2296
Single Precision Score
2602
Half Precision Score
3446
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | MAAlqethami |
| Upload Date | April 18 2026 07:07 PM |
| Views | 6 |
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% |
2245
417.6 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.6 IPS |
|
|
Image Classification (Q)
|
99% |
2490
464.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3520
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3850
4.49 IPS |
|
|
Pose Estimation (HP)
|
92% |
6751
7.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
7538
8.83 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
1191
94.8 IPS |
|
|
Object Detection (Q)
|
85% |
2155
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (Q)
|
97% |
5282
63.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3143
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4616
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5986
55.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9770
12.7 IPS |
|
|
Style Transfer (HP)
|
88% |
7473
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
15165
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2716
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3826
141.8 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.1 IPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1447
25.0 IPS |
|
|
Machine Translation (Q)
|
55% |
945
25.4 IPS |
