Samsung Galaxy S24 Ultra
Geekbench AI Score
2679
Single Precision Score
2686
Half Precision Score
3984
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 04:53 AM |
| Views | 1 |
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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.3 IPS |
|
|
Image Classification (Q)
|
100% |
3523
655.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4293
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4359
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4198
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
10024
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1993
158.6 IPS |
|
|
Object Detection (HP)
|
98% |
2006
159.6 IPS |
|
|
Object Detection (Q)
|
83% |
2580
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (Q)
|
95% |
6601
78.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4058
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3921
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6355
58.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9518
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9499
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17910
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4177
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1109
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
741
26.3 IPS |
