Samsung Galaxy S24 Ultra
Geekbench AI Score
1137
Single Precision Score
1848
Half Precision Score
1648
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 11 2024 04:31 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-S928U1 |
| 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% |
613
113.9 IPS |
|
|
Image Classification (HP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (Q)
|
96% |
565
105.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1525
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2281
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.2 IPS |
|
|
Object Detection (Q)
|
87% |
958
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
3158
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1925
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4092
31.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3369
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7440
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
12080
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11406
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1430
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.7 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (Q)
|
91% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
607
14.8 IPS |
