Samsung Galaxy S24
Geekbench AI Score
2122
Single Precision Score
3373
Half Precision Score
2505
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 11:45 PM |
| Views | 1 |
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% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (Q)
|
100% |
1836
341.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4997
81.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10998
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
20032
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12716
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
99% |
1439
114.1 IPS |
|
|
Object Detection (Q)
|
87% |
1455
116.8 IPS |
|
|
Face Detection (SP)
|
100% |
4111
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (Q)
|
97% |
5601
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8204
63.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
6325
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13936
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30515
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29095
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4620
171.2 IPS |
|
|
Text Classification (SP)
|
35% |
50
490.9 IPS |
|
|
Text Classification (HP)
|
35% |
83
751.3 IPS |
|
|
Text Classification (Q)
|
33% |
59
705.7 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
97% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
43% |
259
14.7 IPS |
