Samsung Galaxy S24 Ultra
Geekbench AI Score
2810
Single Precision Score
2802
Half Precision Score
4450
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:42 PM |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
100% |
3525
655.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4358
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10003
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
2142
170.5 IPS |
|
|
Object Detection (HP)
|
98% |
1989
158.3 IPS |
|
|
Object Detection (Q)
|
83% |
3328
268.8 IPS |
|
|
Face Detection (SP)
|
100% |
4204
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
7461
89.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4415
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4438
34.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6858
62.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10532
13.7 IPS |
|
|
Style Transfer (HP)
|
89% |
10411
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20623
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4881
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
1389
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
834
29.6 IPS |
