Samsung Galaxy S24 Ultra
Geekbench AI Score
2606
Single Precision Score
2600
Half Precision Score
4007
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 09:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2423
450.5 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.5 IPS |
|
|
Image Classification (Q)
|
100% |
3526
655.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2730
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4456
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4467
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4287
5.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
9824
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
1998
159.0 IPS |
|
|
Object Detection (HP)
|
98% |
1926
153.3 IPS |
|
|
Object Detection (Q)
|
83% |
3336
269.5 IPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
5700
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3393
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3279
25.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5833
53.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8796
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8800
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16913
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4178
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.1 IPS |
|
|
Text Classification (HP)
|
99% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1073
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (Q)
|
50% |
824
29.3 IPS |
