Samsung Galaxy S24 Ultra
Geekbench AI Score
2446
Single Precision Score
2507
Half Precision Score
3635
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 05:12 AM |
| Views | 2 |
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-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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.7 IPS |
|
|
Image Classification (Q)
|
100% |
3466
644.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4258
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4376
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4085
4.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
7982
9.47 IPS |
|
|
Object Detection (SP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (HP)
|
98% |
1759
139.9 IPS |
|
|
Object Detection (Q)
|
83% |
2243
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
5440
64.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3154
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3340
25.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5657
51.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8488
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8457
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15357
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4041
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.5 IPS |
|
|
Text Classification (HP)
|
99% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1074
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
744
26.4 IPS |
