Samsung Galaxy S24 Ultra
Geekbench AI Score
954
Single Precision Score
1465
Half Precision Score
1426
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 09:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
671
124.9 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
96% |
649
121.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1627
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
1822
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
814
64.6 IPS |
|
|
Object Detection (Q)
|
87% |
811
65.1 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3113
37.0 IPS |
|
|
Face Detection (Q)
|
97% |
3226
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2387
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4955
6.37 IPS |
|
|
Style Transfer (HP)
|
100% |
8221
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8166
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1037
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (HP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (Q)
|
91% |
647
869.3 IPS |
|
|
Machine Translation (SP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
529
12.9 IPS |
