Samsung Galaxy S24
Geekbench AI Score
2040
Single Precision Score
3124
Half Precision Score
2412
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 07:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921U1 |
| 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 | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (Q)
|
100% |
1841
342.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4845
78.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4700
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10640
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
18977
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17631
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
99% |
1579
125.2 IPS |
|
|
Object Detection (Q)
|
87% |
1512
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6862
81.5 IPS |
|
|
Face Detection (Q)
|
97% |
5946
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5029
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7120
55.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5370
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11821
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23936
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22832
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3757
139.2 IPS |
|
|
Text Classification (SP)
|
35% |
41
397.9 IPS |
|
|
Text Classification (HP)
|
35% |
72
657.8 IPS |
|
|
Text Classification (Q)
|
33% |
55
657.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
97% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
43% |
192
10.9 IPS |
