Samsung Galaxy S24 Ultra
Geekbench AI Score
2355
Single Precision Score
2220
Half Precision Score
3431
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 04:41 PM |
| 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-S9280 |
| 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
100% |
3381
628.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4062
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3350
3.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7593
9.01 IPS |
|
|
Object Detection (SP)
|
98% |
1686
134.2 IPS |
|
|
Object Detection (HP)
|
98% |
1487
118.3 IPS |
|
|
Object Detection (Q)
|
83% |
2384
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3311
39.3 IPS |
|
|
Face Detection (Q)
|
95% |
5170
61.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3152
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3143
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5316
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8086
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8168
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13070
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3778
140.0 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.9 IPS |
|
|
Text Classification (HP)
|
99% |
657
877.3 IPS |
|
|
Text Classification (Q)
|
88% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
681
24.2 IPS |
