Samsung Galaxy S24 Ultra
Geekbench AI Score
2352
Single Precision Score
2540
Half Precision Score
3724
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Katsumis |
| Upload Date | August 25 2024 10:12 AM |
| Views | 6 |
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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
2499
464.8 IPS |
|
|
Image Classification (Q)
|
100% |
3782
703.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2709
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4373
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4429
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
9780
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1772
141.0 IPS |
|
|
Object Detection (HP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (Q)
|
87% |
2617
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5720
68.3 IPS |
|
|
Depth Estimation (SP)
|
98% |
2453
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3350
25.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
6534
53.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8732
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8735
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16531
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4228
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
535
722.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
868
30.8 IPS |
