Samsung Galaxy S24 Ultra
Geekbench AI Score
2620
Single Precision Score
2744
Half Precision Score
4186
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:49 AM |
| Views | 1 |
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% |
1944
361.5 IPS |
|
|
Image Classification (HP)
|
100% |
2457
457.0 IPS |
|
|
Image Classification (Q)
|
100% |
3506
651.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4363
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4466
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4267
4.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
9287
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1731
137.8 IPS |
|
|
Object Detection (HP)
|
98% |
1814
144.3 IPS |
|
|
Object Detection (Q)
|
83% |
2401
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (Q)
|
95% |
6484
77.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3771
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4007
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6847
62.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10619
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10601
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20395
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4666
172.9 IPS |
|
|
Text Classification (SP)
|
100% |
854
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
1256
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (Q)
|
50% |
914
32.4 IPS |
